Abstract
Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link‐prediction problem, and we develop approaches to link prediction based on measures for analyzing the “proximity” of nodes in a network. Experiments on large coauthorship networks suggest that information about future interactions can be extracted from network topology alone, and that fairly subtle measures for detecting node proximity can outperform more direct measures.
Introduction
As part of the recent surge of research on large, complex networks and their properties, a considerable amount of attention has been devoted to the computational analysis of social networks—structures whose nodes represent people or other entities embedded in a social context, and whose edges represent interaction, collaboration, or influence between entities. Natural examples of social networks include the set of all scientists in a particular discipline, with edges joining pairs who have coauthored articles; the set of all employees in a large company, with edges joining pairs working on a common project; or a collection of business leaders, with edges joining pairs who have served together on a corporate board of directors. The increased availability of large, detailed datasets encoding such networks has stimulated extensive study of their basic properties, and the identification of recurring structural features (e.g., see the work of Adamic & Adar, 2003; Grossman, 2002; Newman, 2002; Watts, 1999; Watts & Strogatz, 1998; for a thorough recent survey, see Newman, 2003).
Social networks are highly dynamic objects; they grow and change quickly over time through the addition of new edges, signifying the appearance of new interactions in the underlying social structure. Identifying the mechanisms by which they evolve is a fundamental question that is still not well understood, and it forms the motivation for our work here. We define and study a basic computational problem underlying social‐network evolution, the link‐prediction problem: Given a snapshot of a social network at time t, we seek to accurately predict the edges that will be added to the network during the interval from time t to a given future time t9.
In effect, the link‐prediction problem asks: To what extent can the evolution of a social network be modeled using features intrinsic to the network itself? Consider a coauthorship network among scientists, for example. There are many reasons exogenous to the network why two scientists who have never written an article together will do so in the next few years: For example, they may happen to become geographically close when one of them changes institutions. Such collaborations can be hard to predict. But one also senses that a large number of new collaborations are hinted at by the topology of the network: Two scientists who are “close” in the network will have colleagues in common and will travel in similar circles; this social proximity suggests that they themselves are more likely to collaborate in the near future. Our goal is to make this intuitive notion precise and to understand which measures of “proximity” in a network lead to the most accurate link predictions. We find that a number of proximity measures lead to predictions that outperform chance by factors of 40 to 50, indicating that the network topology does indeed contain latent information from which to infer future interactions. Moreover, certain fairly subtle measures—involving infinite sums over paths in the network—often outperform more direct measures such as shortest‐path distances and numbers of shared neighbors.
We believe that a primary contribution of the present article is in the area of network‐evolution models. While there has been a proliferation of such models in recent years—e.g., see the work of Barabasi et al., 2002; Davidsen, Ebel, and Bornholdt, 2002; Jin, Girvan, and Newman, 2001; for recent work on collaboration networks, or the survey of Newman, 2003—these models have generally been evaluated only by asking whether they reproduce certain global structural features observed in real networks. As a result, it has been difficult to evaluate and compare different approaches on a principled footing. Link prediction, on the other hand, offers a very natural basis for such evaluations: A network model is useful to the extent that it can support meaningful inferences from observed network data. One sees a related approach in recent work of Newman (2001a), who considers the correlation between certain network‐growth models and data on the appearance of edges of coauthorship networks.
In addition to its role as a basic question in social‐network evolution, the link‐prediction problem could be relevant to a number of interesting current applications of social networks. Increasingly, for example, researchers in artificial intelligence and data mining have argued that a large organization (e.g., a company) can benefit from the interactions within the informal social network among its members; these ties serve to supplement the official hierarchy imposed by the organization itself (Kautz, Selman, & Shah, 1997; Raghavan, 2002). Effective methods for link prediction could be used to analyze such a social network to suggest promising interactions or collaborations that have not yet been identified within the organization. In a different vein, research in security has recently begun to emphasize the role of social‐network analysis, largely motivated by the problem of monitoring terrorist networks; link prediction in this context allows one to conjecture that particular individuals are working together even though their interaction has not been directly observed (Krebs, 2002).
The link‐prediction problem also is related to the problem of inferring missing links from an observed network: In a number of domains, one constructs a network of interactions based on observable data and then tries to infer additional links that, while not directly visible, are likely to exist (Goldberg & Roth, 2003; Popescul & Ungar, 2003; Taskar, Wong, Abbeel, & Koller, 2003). This line of work differs from our problem formulation in that it works with a static snapshot of a network rather than considering network evolution; it also tends to take into account specific attributes of the nodes in the network rather than evaluating the power of prediction methods that are based purely on the graph structure.
We turn to a description of our experimental setup in the next section. Our primary focus is on understanding the relative effectiveness of network‐proximity measures adapted from techniques in graph theory, computer science, and the social sciences, and we review a large number of such techniques. Finally, we discuss the results of our experiments.
Data and Experimental Setup
Suppose that we have a social network G = 〈V, E〉 in which each edge e = 〈u, v〉 ∈ E represents an interaction between u and v that took place at a particular time t(e). We record multiple interactions between u and v as parallel edges, with potentially different timestamps. For two times t < t′, let G[t, t′] denote the subgraph of G consisting of all edges with a timestamp between t and t′. Here, then, is a concrete formulation of the link‐prediction problem. We choose four times t0 < t0′ < t1 < t1′ and give an algorithm access to the network G[t0, t0′]; it must then output a list of edges not present in G[t0, t0′] that are predicted to appear in the network G[t1, t1′]. We refer to [t0, t0′] as the training interval and [t1, t1′] as the test interval.
Of course, social networks grow through the addition of nodes as well as edges, and it is not sensible to seek predictions for edges whose endpoints are not present in the training interval. Thus, in evaluating link‐prediction methods, we will generally use two parameters, κtraining and κtest, and define the set Core to consist of all nodes that are incident to at least κtraining edges in G[t0, t0′] and at least κtest edges in G[t1, t1′]. We will then evaluate how accurately the new edges between elements of Core can be predicted.
We now describe our experimental setup more specifically. We work with five coauthorship networks G, obtained from the author lists of articles contained in five sections of the physics e‐Print arXiv, www.arxiv.org (see Figure 1 for statistics on the sizes of each of these five networks). Some heuristics were used to deal with occasional syntactic anomalies, and authors were identified by first initial and last name, a process that introduces a small amount of noise due to multiple authors with the same identifier (Newman, 2001b). The errors introduced by this process appear to be minor.

The five sections of the arXiv from which coauthorship networks were constructed: astro‐ph (astrophysics), cond‐mat (condensed matter), gr‐qc (general relativity and quantum cosmology), hep‐ph (high energy physics–phenomenology), and hep‐th (high energy physics–theory). The set Core is the subset of the authors who have written at least κtraining = 3 articles during the training period 1994–1996 and κtest = 3 articles during the test period 1997–1999. The sets Eold and Enew denote undirected edges between Core authors that first appear during the training and test periods, respectively.
Now consider any one of these five graphs. We define the training interval to be the 3 years from 1994 through 1996, and the test interval to be the 3 years from 1997 through 1999. We denote the subgraph G[1994, 1996] on the training interval by Gcollab: = 〈A, Eold〉 and use Enew to denote the set of edges 〈u, v〉 such that u, v ∈ A, and u, v coauthor an article during the test interval, but not the training interval—these are the new interactions we are seeking to predict. In our experiments on the arXiv, we can identify which authors are active throughout the entire period on the basis of the number of articles published and not on the number of coauthors. Thus, here we define the set Core to consist of all authors who have written at least κtraining := 3 articles during the training period and at least κtest :=3 articles during the test period.
Evaluating a Link Predictor
Each link predictor p that we consider outputs a ranked list Lp of pairs in A × A − Eold; these are predicted new collaborations, in decreasing order of confidence. For our evaluation, we focus on the set Core, so we define Enew* := Enew ∩ (Core × Core) and n := |Enew*|. Our performance measure for Predictor p is then determined as follows: From the ranked list Lp, we take the first n pairs that are in Core × Core, and determine the size of the intersection of this set of pairs with the set Enew*.
Methods for Link Prediction
In this section, we survey an array of methods for link prediction. All the methods assign a connection weight score(x, y) to pairs of nodes 〈x, y〉, based on the input graph Gcollab, and then produce a ranked list in decreasing order of score(x, y). Thus, they can be viewed as computing a measure of proximity or “similarity” between nodes x and y, relative to the network topology. In general, the methods are adapted from techniques used in graph theory and in social‐network analysis; in a number of cases, these techniques were not designed to measure node‐to‐node similarity and hence need to be modified for this purpose. Figure 2 summarizes most of these measures; we discuss them in more detail later. Note that some of these measures are designed only for connected graphs; because each graph Gcollab that we consider has a giant component—a single component containing most of the nodes—it is natural to restrict the predictions for these measures to this component.

Values for score(x, y) under various predictors; each predicts pairs 〈x, y〉 in descending order of score(x, y). The set Γ(x) consists of the neighbors of the node x in Gcollab.
Perhaps the most basic approach is to rank pairs x, y by the length of their shortest path in Gcollab. Such a measure follows the notion that collaboration networks are “small worlds,” in which individuals are related through short chains (Newman, 2001b) (In keeping with the notion that we rank pairs in decreasing order of score(x,y), we define score(x,y) here to be the negative of the shortest path length.) Pairs with shortest‐path distance equal to one are joined by an edge in Gcollab, and hence they belong to the training edge set Eold. For all of our graphs Gcollab, there are well more than n pairs at shortest‐path distance two, so our shortest‐path predictor simply selects a random subset of these distance‐two pairs.
Methods Based on Node Neighborhoods
For a node x, let Γ(x) denote the set of neighbors of x in Gcollab. A number of approaches are based on the idea that two nodes x and y are more likely to form a link in the future if their sets of neighbors Γ(x) and Γ(y) have large overlap; this approach follows the natural intuition that such nodes x and y represent authors who have many colleagues in common and hence who are more likely to come into contact themselves. Jin et al. (2001) and Davidsen et al. (2002) defined abstract models for network growth using this principle, in which an edge 〈x, y〉 is more likely to form if edges 〈x, z〉 and 〈z, y〉 are already present for some z.
Common neighbors.
The most direct implementation of this idea for link prediction is to define score(x, y) := | Γ(x∩) ?Γ(y)|, the number of neighbors that x and y have in common. Newman (2001a) computed this quantity in the context of collaboration networks, verifying a correlation between the number of common neighbors of x and y at time t and the probability that they will collaborate in the future.
Jaccard's coefficient and Adamic/Adar.
The Jaccard coefficient—a commonly used similarity metric in information retrieval (Salton & McGill, 1983)—measures the probability that both x and y have a feature f, for a randomly selected feature f that either x or y has. If we take “features” here to be neighbors in Gcollab, this approach leads to the measure score(x,y) := |Γ(x) ∩ Γy) |/|Γ(x) ∪ Γ(y) |.
Adamic and Adar (2003) considered a similar measure, in the context of deciding when two personal home pages are strongly “related.” To do this, they computed features of the pages and defined the similarity between two pages to be

This quantity refines the simply counting of common features by weighting rarer features
more heavily. This idea suggests the measure score(x, y)$: = \sum\nolimits_{z \in \Gamma (x) \cap \Gamma (y)} {{\textstyle{1 \over {\log |\Gamma
(z)|}}}}$
Preferential attachment.
This has received considerable attention as a model of the growth of networks (Barabási & Albert, 1999; Mitzenmacher, 2004). The basic premise is that the probability that a new edge has node x as an endpoint is proportional to |Γ(x)|, the current number of neighbors of x. Newman (2001a) and Barabási et al. (2002) further proposed, on the basis of empirical evidence, that the probability of coauthorship of x and y is correlated with the product of the number of collaborators of x and y. This proposal corresponds to the measure score(x, y) |Γ(x)| · |Γ(y)|.
Methods Based on the Ensemble of All Paths
A number of methods refine the notion of shortest‐path distance by implicitly considering the ensemble of all paths between two nodes.
Katz (1953).
Katz defined a measure that directly sums over this collection of paths, exponentially damped by length to count short paths more heavily. This notion leads to the measure

Hitting time, PageRank, and variants.
A random walk on Gcollab starts at a node x and iteratively moves to a neighbor of x chosen uniformly at random from the set Γ(x). The hitting time Hx,y from x to y is the expected number of steps required for a random walk starting at x to reach y. Because the hitting time is not in general symmetric, it also is natural to consider the commute time Cx,y:= Hx,y + Hy,x. Both of these measures serve as natural proximity measures and hence (negated) can be used as score(x, y).
One difficulty with hitting time as a measure of proximity is that Hx,y is quite small whenever y is a node with a large stationary probability πy, regardless of the identity of x. To counterbalance this phenomenon, we also consider normalized versions of the hitting and commute times, by defining score(x, y) := −Hy,x · πy or score(x, y) := −(Hy,x · πy + );Hy,x ċ πx).
Another difficulty with these measures is their sensitive dependence to parts of the graph far away from x and y, even when x and y are connected by very short paths. A way of counteracting this dependence is to allow the random walk from x to y to periodically “reset,” returning to x with a fixed probability α at each step; in this way, distant parts of the graph almost never will be explored. Random resets form the basis of the PageRank measure for Web pages (Brin & Page, 1998), and we can adapt it for link prediction as follows. Define score(x, y) under the rooted PageRank measure with parameter α ∈ [0, 1] to be the stationary probability of y in a random walk that returns to x with probability α each step, moving to a random neighbor with probability 1 − α. Similar approaches have been considered for personalized PageRank, in which one wishes to rank Web pages based both on their overall importance, the core of PageRank, and their relevance to a particular topic or individual, by biasing the random resets toward topically relevant or bookmarked pages (Haveliwala, 2003; Haveliwala, Kamvar, & Jeh, 2003; Jeh & Widom, 2003; Kamvar, Haveliwala, Manning, & Golub, 2003).
SimRank (Jeh & Widom, 2002).
SimRank is a fixed point of the following recursive definition: Two nodes are similar to the extent that they are joined to similar neighbors. Numerically, this quantity is specified by defining similarity(x, x)1 and

Higher Level Approaches
We now discuss three “meta‐approaches” that can be used in conjunction with any of the methods discussed earlier.
Low‐rank approximation.
Because the adjacency matrix M can be used to represent the graph Gcollab, all of our link‐prediction methods have an equivalent formulation in terms of this matrix M. In some cases, this correspondence was noted explicitly earlier (e.g., in the case of the Katz similarity score), but in many other cases the matrix formulation also is quite natural. For example, the common‐neighbors method consists simply of mapping each node x to its row r(x) in M, and then defining score(x, y) to be the inner product of the rows r(x) and r(y).
A common general technique when analyzing the structure of a large matrix M is to choose a relatively small number k and compute the rank‐k matrix Mk that best approximates M with respect to any of a number of standard matrix norms. This computation can be done efficiently using the singular‐value decomposition, and it forms the core of methods such as latent semantic analysis in information retrieval (Deerwester, Dumais, Furnas, Landauer, & Harshman, 1990). Intuitively, working with Mk rather than M can be viewed as a type of “noise‐reduction” technique that generates most of the structure in the matrix, but with a greatly simplified representation.
In our experiments, we investigate three applications of low‐rank approximation: (a) ranking by the Katz measure, in which we use Mk rather than M in the underlying formula; (b) ranking by common neighbors, in which we score by inner products of rows in Mk rather than M; and—most simply of all—(c) defining score(x, y) to be the 〈x, y〉 entry in the matrix Mk.
Unseen bigrams.
Link prediction is akin to the problem of estimating frequencies for unseen bigrams in language modeling—pairs of words that co‐occur in a test corpus, but not in the corresponding training corpus (e.g., see the work of Essen & Steinbiss, 1992). Following ideas proposed in that literature (e.g., Lee, 1999), we can augment our estimates for score(x, y) using values of score(z, y) for nodes z that are “similar” to x. Specifically, we adapt this approach to the link‐prediction problem as follows. Suppose we have values score(x,y) computed under one of the measures above. Let Sxδ) denote the δ nodes most related to x under score(x,·), for a parameter δ ∈ ℤ+. We then define enhanced scores in terms of the nodes in this set:

Clustering.
One might seek to improve on the quality of a predictor by deleting the more “tenuous” edges in Gcollab through a clustering procedure, and then running the predictor on the resulting “cleaned‐up” subgraph. Consider a measure computing values for score(x, y). We compute score(u, v) for all edges in Eold, and delete the (1−ρpar; fraction of these edges for which the score is lowest, for a parameter ρ ∈ [0, 1]. We now recompute score(x, y) for all pairs 〈x, y〉 on this subgraph; in this way, we determine node proximities using only edges for which the proximity measure itself has the most confidence.
Results and Discussion
As discussed in the first section, many collaborations form (or fail to form) for
reasons outside the scope of the network; thus, the raw performance of our predictors
is relatively low. To more meaningfully represent predictor quality, we use as our
baseline a random predictor, which simply predicts randomly selected pairs of authors who did not collaborate
in the training interval. The probability that a random prediction is correct is just
the ratio between |Enew|, the number of possible correct predictions, and $\left( \matrix{ |{\rm{Core|}} \cr {\rm{2}} \cr} \right) - |E_{old} |,$, the number of possible predictions that can be made (Any pair chosen from the set
Core of core authors is a legal prediction unless they had already collaborated, which
occurs for | Eold | pairs.) A random prediction is correct with probability between 0.15% (cond‐mat) and 0.48% (astro‐ph).
Figures 3 and 4 show each predictor's performance on each arXiv section, in terms of the factor improvement over random. One can use standard tail inequalities (e.g., see the text of Motwani & Raghavan, 1995) to show that the probability of a random predictor's performance exceeding its expectation by a factor of 5 is very small: this probability ranges from about 0.004 for gr‐qc to about 10−48 for astro‐ph. Thus, almost every predictor performs significantly better than random predictions on every dataset.

Performance of various predictors on the link‐prediction task defined in the section on Data and Experimental Setup. For each predictor and each arXiv section, the given number specifies the factor improvement over random prediction. Two predictors in particular are used as baselines for comparison: graph distance and common neighbors (see Methods for definitions). Italicized entries have performance at least as good as the graph‐distance predictor; bold entries are at least as good as the common‐neighbors predictor (see also Figure 4).

Performance of various meta‐approaches on the link‐prediction task defined in the Data and Experimental Setup section. As before, for each predictor and each arXiv section, the given number specifies the factor improvement over random predictions (see Figure 3).
Figures 5, 6, and 7 show the average relative performance of several different predictors versus three baseline predictors—the random predictor, the graph‐distance predictor, and the common‐neighbors predictor. There is no single clear winner among the techniques, but we see that a number of methods significantly outperform the random predictor, suggesting that there is indeed useful information contained in the network topology alone. The Katz measure and its variants based on clustering and low‐rank approximation perform consistently well; on three of the five arXiv sections, a variant of Katz achieves the best performance. Some of the very simple measures also perform surprisingly well, including common neighbors and the Adamic/Adar measure.

Relative average performance of various predictors versus random predictions. The value shown is the average ratio over the five datasets of the given predictor's performance versus the random predictor's performance. The error bars indicate the minimum and maximum of this ratio over the five datasets. The parameters for the starred predictors are as follows: (a) for weighted Katz, β =0.005; (b) for Katz clustering, β1 =0.001, ρ =0.15, β2 =0.1; (c) for low‐rank inner product, rank =256; (d) for rooted Pagerank, α = 0.15; (e) for unseen bigrams, unweighted common neighbors with δ = 8; and (f) for SimRank, γ = 0.8.

Relative average performance of various predictors versus the graph‐distance predictor. The plotted value shows the average taken over the five datasets of the ratio of the performance of the given predictor versus the graph‐distance predictor; the error bars indicate the range of this ratio over the five datasets. All parameter settings are as in Figure 5.

Relative average performance of various predictors versus the common‐neighbors predictor, as in Figure 6. Error bars display the range of the performance ratio of the given predictor versus common neighbors over the five datasets; the displayed value gives the average ratio. Parameter settings are as in Figure 5.
Similarities Among the Predictors and the Datasets
Not surprisingly, there is significant overlap in the predictions made by the various methods. In Figure 8, we show the number of common predictions made by 10 of the most successful measures on the cond‐mat graph. We see that Katz, low‐rank inner product, and Adamic/Adar are quite similar in their predictions, as are (to a somewhat lesser extent) rooted PageRank, SimRank, and Jaccard. Hitting time is remarkably unlike any of the other nine in its predictions, despite its reasonable performance. The number of common correct predictions shows qualitatively similar behavior (see Figure 9). It would be interesting to understand the generality of these overlap phenomena, especially because certain of the large overlaps do not seem to follow obviously from the definitions of the measures.

The number of common predictions made by various predictors on the cond‐mat dataset, of 1,150 predictions. Parameter settings are as in Figure 5.

The number of correct common predictions made by various predictors on the cond‐mat dataset, of 1,150 predictions. The diagonal entries indicate the number of correct predictions for each predictor. Parameter settings are as in Figure 5.
It is harder to quantify the differences among the datasets, but their relationship is a very interesting issue as well. One perspective is provided by the methods based on low‐rank approximation: On four of the datasets, their performance tends to be best at an intermediate rank while on gr‐qc they perform best at rank 1 (see Figure 10, e.g., for a plot of the change in the performance of the low‐rank matrix‐entry predictor as the rank of the approximation varies.) This fact suggests a sense in which the collaborations in gr‐qc have a much “simpler” structure than those in the other four. One also observes the apparent importance of node degree in the hep‐ph collaborations: The preferential‐attachment predictor—which considers only the number (and not the identity) of a scientist's coauthors—does uncharacteristically well on this dataset, outperforming the basic graph‐distance predictor. Finally, it would be interesting to make precise a sense in which astro‐ph is a “difficult” dataset, given the low performance of all methods relative to random and the fact that none beats simple ranking by common neighbors. We will explore this issue further when we consider collaboration data drawn from other fields.

Relative performance of the low‐rank matrix‐entry predictor for various ranks on each arXiv section. For each arXiv section, the performance of this predictor, measured by the factor of improvement over random predictions, is shown for ranks 1, 4, 16, 64, 256, and 1024. Notice that for all arXiv sections save gr‐qc, predictor performance is maximized by an intermediate rank; for that dataset, performance continues to improve as the rank decreases all the way to rank 1.
Because almost all of our experiments were carried out on social networks formed via the collaborations of physicists, it is difficult to draw broad conclusions about link prediction in social networks in general. The culture of physicists and of physics collaboration (e.g., see the work of Katz & Martin, 1997) plays a role in the quality of our results. The considerations discussed earlier suggest that there are some important differences even within physics (depending on the subfield), and an important area for future study is to understand how other social networks differ from the ones that we studied here.
Small Worlds
It is reassuring that even the basic graph‐distance predictor handily outperforms random predictions, but this measure has severe limitations. Extensive research has been devoted to understanding the so‐called small‐world problem in collaboration network; that is, accounting for the existence of short paths connecting virtually every pair of scientists (Newman, 2001b). This property is normally viewed as a vital fact about the scientific community (New ideas spread quickly, and every discipline interacts with—and gains from—other fields.), but in the context of our prediction task, we come to a different conclusion: The small‐world problem is really a problem. The shortest path between two scientists in wholly unrelated disciplines is often very short (and very tenuous). To take one particular, but not atypical, example, the developmental psychologist Jean Piaget has as small an Erdös number—3 (Castro & Grossman, 1999)—as most mathematicians and computer scientists. Overall, the basic graph‐distance predictor is not competitive with most of the other approaches studied; our most successful link predictors can be viewed as using measures of proximity that are robust to the few edges that result from rare collaborations between fields.
Restricting to Distance 3
The small‐world problem suggests that there are many pairs of authors separated by a graph distance of 2 who will not collaborate, but we also observe the dual problem: Many pairs who collaborate are at distance greater than 2. Between 71 (hep‐ph) and 83% (cond‐mat) of new edges form between pairs at distance 3 or greater (see Figure 11).

Relationship between new collaborations and graph distance.
Because most new collaborations are not at distance 2, we also are interested in how well our predictors perform when we disregard all distance‐2 pairs. Clearly, nodes at distances greater than 2 have no neighbors in common, and hence this task essentially rules out the use of methods based on common neighbors. The performance of the other measures is shown in Figure 12. The graph‐distance predictor (i.e., predicting all distance‐3 pairs) performs between about three and nine times random and is consistently beaten by virtually all of the predictors: SimRank, rooted PageRank, Katz, and the low‐rank and unseen‐bigram techniques. The unweighted Katz and unseen‐bigram predictors have the best performance (as high as about 30 times random, on gr‐qc), followed closely by weighted Katz, SimRank, and rooted PageRank.

The distance‐three task: performance of predictors only on edges in Enew for which the endpoints were at distance three or more in Gcollab. Methods based on common neighbors are not appropriate for this task (see Results and Discussion).
The Breadth of the Data
We also have considered three other datasets: (a) the proceedings of two conferences in theoretical computer science, Symposium on the Theory of Computing (STOC) and Foundations of Computer Science (FOCS), (b) the articles found in the Citeseer (www.citeseer.com) online database, which finds articles by crawling the Web for any files in postscript format, and (c) all five of the arXiv sections merged into one. Consider the performance of the common‐neighbors predictor compared to random on these datasets:
STOC/FOCS | arXiv sections | combined arXiv sections | Citeseer |
---|---|---|---|
6.1 | 18.0–46.9 | 71.2 | 147.0 |
Performance versus random swells dramatically as the topical focus of our dataset widens. That is, when we consider a more diverse collection of scientists, it is fundamentally easier to group scientists into fields of study (and therefore outperform the random predictor, which usually will make guesses between fields). When we consider a sufficiently narrow set of researchers (e.g., STOC/FOCS), almost any author can collaborate with almost any other author, and there seems to be a strong random component to new collaborations (In extensive experiments on the STOC/FOCS data, we could not beat random guessing by a factor of more than about 7.) It is an interesting challenge to formalize the sense in which the STOC/FOCS collaborations are truly intractable to predict; that is, to what extent information about new collaborations is simply not present in the old collaboration data.
Future Directions
While the predictors that we have discussed perform reasonably well, even the best (Katz clustering on gr‐qc) is correct on only about 16% of its predictions. There is clearly much room for improvement in performance on this task, and finding ways to take better advantage of the information in the training data is an interesting open question. Another issue is to improve the efficiency of the proximity‐based methods on very large networks; fast algorithms for approximating the distribution of node‐to‐node distances may be one approach (Palmer, Gibbons, & Faloutsos, 2002).
The graph Gcollab is a lossy representation of the data; we also can consider a bipartite collaboration graph Bcollab, with a vertex for every author and article, and an edge connecting each article to each of its authors. The bipartite graph contains more information than Gcollab, so we may hope that predictors can use it to improve performance. The size of Bcollab is much larger than that of Gcollab, making experiments prohibitive, but we have tried using the SimRank and Katz predictors on smaller datasets (gr‐qc, or shorter training periods). Their performance does not seem to improve, but perhaps other predictors can fruitfully exploit the additional information in Bcollab.
Similarly, our experiments treat all training‐period collaborations equally. Perhaps one can improve performance by treating more recent collaborations as more important than older ones. One also could tune the parameters of the Katz predictor, for example, by dividing the training set into temporal segments, training β on the beginning, and then using the end of the training set to make final predictions.
One also might try to use additional information such as the titles of articles or the institutional affiliations of the authors to identify the specific research area or geographic location of each scientist, and then use areas/locations to predict collaborations. In the field of bibliometrics, for example, Katz (1994), Melin and Persson (1996), and Ding, Foo, and Chowdhury (1999), among others, have observed institutional and geographic correlations in collaboration; a natural further direction would be to attempt to use geographic location, for instance, as a component of a predictor. To some extent, such geographic information, or indeed any other relevant properties of the nodes, is latently present in the graph Gcollab—precisely because such factors already have played a role in the formation of old edges in the training set; however, direct access to such information may well confer additional predictive power, and it is an interesting open question to better understand the strength of such information in link prediction.
Finally, there has been relevant work in the machine‐learning community on estimating distribution support (Schölkopf, Platt, Shawe‐Taylor, Smola, & Williamson, 1999): Given samples from an unknown probability distribution P, we must find a “simple” set S so that Prx˜P[x ∉ S] < ϵ. We can view training‐period collaborations as samples drawn from a probability distribution on pairs of scientists; our goal is to approximate the set of pairs that have positive probability of collaborating. There also has been some potentially relevant work in machine learning on classification when the training set consists only of a relatively small set of positively labeled examples and a large set of unlabeled examples, with no labeled negative examples (Yu, Zhai, & Han, 2003). It is an open question whether these techniques can be fruitfully applied to the link‐prediction problem.
Acknowledgments
We thank Jon Herzog, Tommi Jaakkola, David Karger, Lillian Lee, Frank McSherry, Mike Schneider, Grant Wang, and Robert Wehr for helpful discussions and comments on earlier drafts of this article. We thank Paul Ginsparg for generously providing the bibliographic data from the arXiv.
An abbreviated preliminary version of this article appears in the Proceedings of the 12th Annual ACM International Conference on Information and Knowledge Management (CIKM'03), November 2003, pp. 556–559.
David Liben‐Nowell was supported in part by an NSF Graduate Research Fellowship. Jon Kleinberg was supported in part by a David and Lucile Packard Foundation Fellowship and NSF ITR Grant IIS‐0081334.
Number of times cited: 980
- Yujie Yang, Jianhua Zhang, Xuzhen Zhu and Lei Tian, Link prediction via significant influence, Physica A: Statistical Mechanics and its Applications, 492, (1523), (2018).
- , Graph Mining Approaches to Study Volunteer Relationships in Sourceforge.net, Free and Open Source Software in Modern Data Science and Business Intelligence, 10.4018/978-1-5225-3707-6.ch007, (117-139)
- Behnaz Moradabadi and Mohammad Reza Meybodi, Link prediction in weighted social networks using learning automata, Engineering Applications of Artificial Intelligence, 70, (16), (2018).
- Sovan Samanta and Madhumangal Pal, Link Prediction in Social Networks, Graph Theoretic Approaches for Analyzing Large-Scale Social Networks, 10.4018/978-1-5225-2814-2.ch010, (164-172)
- Benjamin Paul Chamberlain, Josh Levy-Kramer, Clive Humby, Marc Peter Deisenroth and Yilun Shang, Real-time community detection in full social networks on a laptop, PLOS ONE, 13, 1, (e0188702), (2018).
- Xuecheng Yu and Tianguang Chu, Link Prediction from Partial Observation in Scale-Free Networks, Proceedings of 2017 Chinese Intelligent Systems Conference, 10.1007/978-981-10-6499-9_20, (199-205), (2017).
- Can Lu, Jeffrey Xu Yu and Hao Wei, Exploring Triangle-Free Dense Structures, IEEE Transactions on Knowledge and Data Engineering, 30, 2, (278), (2018).
- Angelico Fetta, Paul Harper, Vincent Knight and Janet Williams, Predicting adolescent social networks to stop smoking in secondary schools, European Journal of Operational Research, 265, 1, (263), (2018).
- Xiaoke Ma, Penggang Sun and Yu Wang, Graph regularized nonnegative matrix factorization for temporal link prediction in dynamic networks, Physica A: Statistical Mechanics and its Applications, 496, (121), (2018).
- Lin Zhang, Jian Lu, Xianfei Yue, Jialin Zhou, Yunxuan Li and Qian Wan, An auxiliary optimization method for complex public transit route network based on link prediction, Modern Physics Letters B, (1850066), (2018).
- Shiwen Zhang, Xiong Li, Haowen Liu, Yaping Lin and Arun Kumar Sangaiah, A privacy-preserving friend recommendation scheme in online social networks, Sustainable Cities and Society, 10.1016/j.scs.2017.12.031, 38, (275-285), (2018).
- Zhihao Wu, Youfang Lin, Yiji Zhao and Hongyan Yan, Improving local clustering based top-L link prediction methods via asymmetric link clustering information, Physica A: Statistical Mechanics and its Applications, 492, (1859), (2018).
- Manel Slokom and Raouia Ayachi, A New Social Recommender System Based on Link Prediction Across Heterogeneous Networks, Intelligent Decision Technologies 2017, 10.1007/978-3-319-59424-8_31, (330-340), (2017).
- Salam Jayachitra Devi and Buddha Singh, Analysis of Link Prediction in Directed and Weighted Social Network Structure, Intelligent Systems Technologies and Applications, 10.1007/978-3-319-68385-0_1, (1-13), (2017).
- Zhenpeng Li, Changjing Shang and Qiang Shen, Fuzzy Connected-Triple for Predicting Inter-variable Correlation, Advances in Computational Intelligence Systems, 10.1007/978-3-319-66939-7_5, (49-62), (2017).
- Yuan He, Cheng Wang and Changjun Jiang, Discovering Canonical Correlations between Topical and Topological Information in Document Networks, IEEE Transactions on Knowledge and Data Engineering, 30, 3, (460), (2018).
- Yubao Wu, Xiang Zhang, Yuchen Bian, Zhipeng Cai, Xiang Lian, Xueting Liao and Fengpan Zhao, Second-order random walk-based proximity measures in graph analysis: formulations and algorithms, The VLDB Journal, 27, 1, (127), (2018).
- Alejandro Corbellini, Daniela Godoy, Cristian Mateos, Silvia Schiaffino and Alejandro Zunino, DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms, Future Generation Computer Systems, 78, (474), (2018).
- Akanda Wahid -Ul- Ashraf, Marcin Budka and Katarzyna Musial-Gabrys, Newton’s Gravitational Law for Link Prediction in Social Networks, Complex Networks & Their Applications VI, 10.1007/978-3-319-72150-7_8, (93-104), (2017).
- Hui-Min Cheng, Yi-Zi Ning, Zhao Yin, Chao Yan, Xin Liu and Zhong-Yuan Zhang, Community detection in complex networks using link prediction, Modern Physics Letters B, 32, 01, (1850004), (2018).
- Davide Feltoni Gurini, Fabio Gasparetti, Alessandro Micarelli and Giuseppe Sansonetti, Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization, Future Generation Computer Systems, 78, (430), (2018).
- Gianni Costa and Riccardo Ortale, Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions, ACM Transactions on Knowledge Discovery from Data, 12, 2, (1), (2018).
- Fattane Zarrinkalam, Mohsen Kahani and Ebrahim Bagheri, Mining user interests over active topics on social networks, Information Processing & Management, 54, 2, (339), (2018).
- Gali-Ketema Mbogo, Alexander Visheratin and Stepan Rakitin, Layer-Wise Model Stacking for Link Prediction in Multilayer Networks. Case of Scientific Collaboration Networks, Complex Networks & Their Applications VI, 10.1007/978-3-319-72150-7_10, (117-126), (2017).
- Benjamin Pachev and Benjamin Webb, Fast link prediction for large networks using spectral embedding, Journal of Complex Networks, 6, 1, (79), (2018).
- Anne Lippert, Jonathan Golding, Kellie Lynch and Eric Haak, When a corporation rapes: perceptions of rape in civil court for corporate defendants, Psychology, Crime & Law, (1), (2018).
- Rong Zhang, Baabak Ashuri, Yu Shyr and Yong Deng, Forecasting Construction Cost Index based on visibility graph: A network approach, Physica A: Statistical Mechanics and its Applications, 493, (239), (2018).
- Raoni S. Ferreira, Maria da Graça Pimentel and Marco Cristo, A wikification prediction model based on the combination of latent, dyadic, and monadic features, Journal of the Association for Information Science and Technology, 69, 3, (380-394), (2017).
- , An Exploratory Analysis and Classification of Papers Presented in a Decade of OSS Conferences Using Revised Taxonomy, Free and Open Source Software in Modern Data Science and Business Intelligence, 10.4018/978-1-5225-3707-6.ch001, (1-57)
- Ramalingeswara Rao Thottempudi, Pabitra Mitra and Goswami Adrijit, Top-k Category Search for an IP Address-Product Network, Smart Secure Systems – IoT and Analytics Perspective, 10.1007/978-981-10-7635-0_23, (296-311), (2017).
- M.I. Pramanik, Raymond Y.K. Lau, Wei T. Yue, Yunming Ye and Chunping Li, Big data analytics for security and criminal investigations, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7, 4, (2017).
- Karan Aggarwal, Komal Kapoor and Jaideep Srivastava, Data Mining Techniques for Social Networks Analysis, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_56-1, (1-11), (2017). Sung Y. Shin, Dongwan Shin and Maria Lencastre the Symposium SAC '17 Marrakech, Morocco Proceedings of the Symposium on Applied Computing - SAC '17 Applied Computing ACM Press New York, New York, USA , (2017). 9781450344869 , 10.1145/3019612 20170919041750 http://dl.acm.org/citation.cfm?doid=3019612 Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva Evolutionary role mining in complex networks by ensemble clustering , (2017). 1053 1060 , 10.1145/3019612.3019815 20170919041802 http://dl.acm.org/citation.cfm?doid=3019612.3019815
- Mehmet Kaya, Mujtaba Jawed, Ertan Bütün and Reda Alhajj, Unsupervised Link Prediction Based on Time Frames in Weighted–Directed Citation Networks, Trends in Social Network Analysis, 10.1007/978-3-319-53420-6_8, (189-205), (2017).
- Zheng Xie, Zonglin Xie, Miao Li, Jianping Li and Dongyun Yi, Modeling the coevolution between citations and coauthorship of scientific papers, Scientometrics, 10.1007/s11192-017-2359-1, 112, 1, (483-507), (2017).
- Zehua Wang, Hamed Shah-Mansouri and Vincent W.S. Wong, How to Download More Data from Neighbors? A Metric for D2D Data Offloading Opportunity, IEEE Transactions on Mobile Computing, 16, 6, (1658), (2017).
- Pham Minh Chuan, Le Hoang Son, Mumtaz Ali, Tran Dinh Khang, Le Thanh Huong and Nilanjan Dey, Link prediction in co-authorship networks based on hybrid content similarity metric, Applied Intelligence, (2017).
- Marta Caro-Martinez and Guillermo Jimenez-Diaz, Similar Users or Similar Items? Comparing Similarity-Based Approaches for Recommender Systems in Online Judges, Case-Based Reasoning Research and Development, 10.1007/978-3-319-61030-6_7, (92-107), (2017). 2017 27th International Telecommunication Networks and Applications Conference (ITNAC) Melbourne, VIC 2017 27th International Telecommunication Networks and Applications Conference (ITNAC) IEEE , (2017). 978-1-5090-6796-1 Mohammad Reza Nosouhi, Youyang Qu, Shui Yu, Yong Xiang and Damien Manuel Distance-based location privacy protection in social networks , (2017). 1 6 8215390 , 10.1109/ATNAC.2017.8215390 http://ieeexplore.ieee.org/document/8215390/ 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) Madurai 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) IEEE , (2017). 978-1-5386-2745-7 Sopan Ganpat Sutar Intelligent data mining technique of social media for improving health care , (2017). 1356 1360 8250690 , 10.1109/ICCONS.2017.8250690 http://ieeexplore.ieee.org/document/8250690/ 2017 IEEE International Conference on Data Mining (ICDM) New Orleans, LA 2017 IEEE International Conference on Data Mining (ICDM) IEEE , (2017). 978-1-5386-3835-4 Prashant Shiralkar, Alessandro Flammini, Filippo Menczer and Giovanni Luca Ciampaglia Finding Streams in Knowledge Graphs to Support Fact Checking , (2017). 859 864 8215568 , 10.1109/ICDM.2017.105 http://ieeexplore.ieee.org/document/8215568/
- Natarajan Venkatachalam and R. Anitha, A multi-feature approach to detect Stegobot: a covert multimedia social network botnet, Multimedia Tools and Applications, 76, 4, (6079), (2017). Ee-Peng Lim, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li, Marianne Winslett, Mark Sanderson, Ada Fu, Jimeng Sun, Shane Culpepper, Eric Lo, Joyce Ho and Debora Donato the 2017 ACM CIKM '17 Singapore, Singapore Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2017). 9781450349185 , 10.1145/3132847 20171106081504 http://dl.acm.org/citation.cfm?doid=3132847 Suhang Wang, Charu Aggarwal, Jiliang Tang and Huan Liu Attributed Signed Network Embedding , (2017). 137 146 , 10.1145/3132847.3132905 20171106081507 http://dl.acm.org/citation.cfm?doid=3132847.3132905 Rick Barrett, Rick Cummings, Eugene Agichtein and Evgeniy Gabrilovich the 26th International Conference WWW '17 Companion Perth, Australia Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion World Wide Web Companion ACM Press New York, New York, USA , (2017). 9781450349147 , 10.1145/3041021 20180111013634 http://dl.acm.org/citation.cfm?doid=3041021 Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han and Lizhou Feng User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization , (2017). 1335 1341 , 10.1145/3041021.3051151 20180111013651 http://dl.acm.org/citation.cfm?doid=3041021.3051151
- Jiaqing Liang, Yanghua Xiao, Haixun Wang, Yi Zhang and Wei Wang, Probase+: Inferring Missing Links in Conceptual Taxonomies, IEEE Transactions on Knowledge and Data Engineering, 29, 6, (1281), (2017).
- Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang and Huan Liu, Feature Selection, ACM Computing Surveys, 50, 6, (1), (2017). Ee-Peng Lim, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li, Marianne Winslett, Mark Sanderson, Ada Fu, Jimeng Sun, Shane Culpepper, Eric Lo, Joyce Ho and Debora Donato the 2017 ACM CIKM '17 Singapore, Singapore Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2017). 9781450349185 , 10.1145/3132847 20171106081504 http://dl.acm.org/citation.cfm?doid=3132847 Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang and Xueqi Cheng A Non-negative Symmetric Encoder-Decoder Approach for Community Detection , (2017). 597 606 , 10.1145/3132847.3132902 20171106081509 http://dl.acm.org/citation.cfm?doid=3132847.3132902
- Tad Dallas, Andrew W Park, John M Drake and Jacob Koella, Predicting cryptic links in host-parasite networks, PLOS Computational Biology, 13, 5, (e1005557), (2017).
- Cuicui Dong, Huifang Du, Yaru Du, Ying Chen, Wenzhe Li and Ming Zhao, Path-Based Learning for Plant Domain Knowledge Graph, Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 10.1007/978-981-10-7359-5_2, (7-17), (2018). IEEE INFOCOM 2017 - IEEE Conference on Computer Communications Atlanta, GA, USA IEEE INFOCOM 2017 - IEEE Conference on Computer Communications IEEE , (2017). 978-1-5090-5336-0 Xinzhe Fu, Zhiying Xu, Qianyang Peng, Luoyi Fu and Xinbing Wang Complexity vs. optimality: Unraveling source-destination connection in uncertain graphs , (2017). 1 9 8057094 , 10.1109/INFOCOM.2017.8057094 http://ieeexplore.ieee.org/document/8057094/ Rick Barrett, Rick Cummings, Eugene Agichtein and Evgeniy Gabrilovich the 26th International Conference WWW '17 Perth, Australia Proceedings of the 26th International Conference on World Wide Web - WWW '17 World Wide Web ACM Press New York, New York, USA , (2017). 9781450349130 , 10.1145/3038912 20170406092841 http://dl.acm.org/citation.cfm?doid=3038912 Aneesh Sharma, C. Seshadhri and Ashish Goel When Hashes Met Wedges A Distributed Algorithm for Finding High Similarity Vectors , (2017). 431 440 , 10.1145/3038912.3052633 20170406092845 http://dl.acm.org/citation.cfm?doid=3038912.3052633 Ee-Peng Lim, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li, Marianne Winslett, Mark Sanderson, Ada Fu, Jimeng Sun, Shane Culpepper, Eric Lo, Joyce Ho and Debora Donato the 2017 ACM CIKM '17 Singapore, Singapore Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2017). 9781450349185 , 10.1145/3132847 20171106081504 http://dl.acm.org/citation.cfm?doid=3132847 Tao-yang Fu, Wang-Chien Lee and Zhen Lei HIN2Vec Explore Meta-paths in Heterogeneous Information Networks for Representation Learning , (2017). 1797 1806 , 10.1145/3132847.3132953 20171106081512 http://dl.acm.org/citation.cfm?doid=3132847.3132953 Maarten de Rijke, Milad Shokouhi, Andrew Tomkins and Min Zhang the Tenth ACM International Conference WSDM '17 Cambridge, United Kingdom Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17 Web Search and Data Mining ACM Press New York, New York, USA , (2017). 9781450346757 , 10.1145/3018661 20170202030443 http://dl.acm.org/citation.cfm?doid=3018661 Wenchao Yu, Charu C. Aggarwal and Wei Wang Temporally Factorized Network Modeling for Evolutionary Network Analysis , (2017). 455 464 , 10.1145/3018661.3018669 20170202030445 http://dl.acm.org/citation.cfm?doid=3018661.3018669
- Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Zeya Zhao and Xueqi Cheng, Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach, IEEE Transactions on Computational Social Systems, 4, 3, (80), (2017). 2017 International Conference on Service Systems and Service Management, (2017). Chen Yang, Lei Liu, Li Chen and Ben Niu110.1109/ICSSSM.2017.7996287 2017 IEEE International Conference on Big Data (Big Data) Boston, MA 2017 IEEE International Conference on Big Data (Big Data) IEEE , (2017). 978-1-5386-2715-0 Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu and Philip S. Yu Bringing semantic structures to user intent detection in online medical queries , (2017). 1019 1026 8258025 , 10.1109/BigData.2017.8258025 http://ieeexplore.ieee.org/document/8258025/
- Zhongqi Xu, Cunlai Pu, Rajput Ramiz Sharafat, Lunbo Li and Jian Yang, Entropy-based link prediction in weighted networks, Chinese Physics B, 26, 1, (018902), (2017).
- Anupam Biswas and Bhaskar Biswas, Community-based link prediction, Multimedia Tools and Applications, 76, 18, (18619), (2017).
- Fatemeh Pourgholamali, Mohsen Kahani, Ebrahim Bagheri and Zeinab Noorian, Embedding unstructured side information in product recommendation, Electronic Commerce Research and Applications, 25, (70), (2017). 2017 IEEE International Conference on Data Mining Workshops (ICDMW) New Orleans, LA 2017 IEEE International Conference on Data Mining Workshops (ICDMW) IEEE , (2017). 978-1-5386-3800-2 Ivan Brugere, Chris Kanich and Tanya Y. Berger-Wolf Network Model Selection for Task-Focused Attributed Network Inference , (2017). 118 125 8215652 , 10.1109/ICDMW.2017.21 http://ieeexplore.ieee.org/document/8215652/
- Behnaz Moradabadi and Mohammad Reza Meybodi, Link prediction in fuzzy social networks using distributed learning automata, Applied Intelligence, 47, 3, (837), (2017). Unknown the 2017 International Conference ICMLSC '17 Ho Chi Minh City, Vietnam Proceedings of the 2017 International Conference on Machine Learning and Soft Computing - ICMLSC '17 Machine Learning and Soft Computing ACM Press New York, New York, USA , (2017). 9781450348287 , 10.1145/3036290 20170407082813 http://dl.acm.org/citation.cfm?doid=3036290 Phuong Pham, Fredrik Erlandsson and S. Felix Wu Social Coordinates A Scalable Embedding Framework for Online Social Networks , (2017). 191 196 , 10.1145/3036290.3036298 20170407082814 http://dl.acm.org/citation.cfm?doid=3036290.3036298
- Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang and Jianshe Zhou, Semi-Supervised Network Embedding, Database Systems for Advanced Applications, 10.1007/978-3-319-55753-3_9, (131-147), (2017).
- Xiaoxia Liu, Zhihao Yang, Hongfei Lin, Michael Simmons and Zhiyong Lu, DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks, BMC Systems Biology, 11, S3, (2017). Rick Barrett, Rick Cummings, Eugene Agichtein and Evgeniy Gabrilovich the 26th International Conference WWW '17 Companion Perth, Australia Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion World Wide Web Companion ACM Press New York, New York, USA , (2017). 9781450349147 , 10.1145/3041021 20180111013634 http://dl.acm.org/citation.cfm?doid=3041021 Jie Tang Computational Models for Social Network Analysis A Brief Survey , (2017). 921 925 , 10.1145/3041021.3051101 20180111013646 http://dl.acm.org/citation.cfm?doid=3041021.3051101 Unknown the 2017 International Conference ICBEB 2017 Bangkok, Thailand Proceedings of the 2017 International Conference on Biomedical Engineering and Bioinformatics - ICBEB 2017 Biomedical Engineering and Bioinformatics ACM Press New York, New York, USA , (2017). 9781450352970 , 10.1145/3143344 20171110081054 http://dl.acm.org/citation.cfm?doid=3143344 Weijing Li and Haoming Xu A Weighted Approach to Predict Missing Links in Disease Comorbidity Networks , (2017). 16 21 , 10.1145/3143344.3143348 20171110081055 http://dl.acm.org/citation.cfm?doid=3143344.3143348
- Chuan Shi and Philip S. Yu, Future Research Directions, Heterogeneous Information Network Analysis and Applications, 10.1007/978-3-319-56212-4_9, (219-227), (2017).
- Jun Wang, Kush R. Varshney and Aleksandra Mojsilović, Legislative Prediction with Political and Social Network Analysis, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_285-1, (1-8), (2016). 2017 International Joint Conference on Neural Networks (IJCNN) Anchorage, AK, USA 2017 International Joint Conference on Neural Networks (IJCNN) IEEE , (2017). 978-1-5090-6182-2 Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo and Zenglin Xu Link prediction by exploiting network formation games in exchangeable graphs , (2017). 619 626 7965910 , 10.1109/IJCNN.2017.7965910 http://ieeexplore.ieee.org/document/7965910/
- Mukul Gupta, Pradeep Kumar and Bharat Bhasker, HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks, Expert Systems with Applications, 68, (106), (2017). 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA) Beijing, China 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)( IEEE , (2017). 978-1-5090-3618-9 978-1-5090-3619-6 Xuchen Zhang, Daizong Ding and Chudi Huang A user intention modeling algorithm for friend recommendation , (2017). 789 795 8078745 , 10.1109/ICBDA.2017.8078745 http://ieeexplore.ieee.org/document/8078745/
- Jinzhu Zhang, Uncovering mechanisms of co-authorship evolution by multirelations-based link prediction, Information Processing & Management, 53, 1, (42), (2017).
- Wenjun Wang, Yiding Feng, Pengfei Jiao and Wei Yu, Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction, Knowledge-Based Systems, 137, (104), (2017).
- Charles Weko and Yunpeng Zhao, Penalized component hub models, Social Networks, 49, (27), (2017). 2017 IEEE International Conference on Data Mining Workshops (ICDMW) New Orleans, LA 2017 IEEE International Conference on Data Mining Workshops (ICDMW) IEEE , (2017). 978-1-5386-3800-2 Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan and B. Aditya Prakash Distributed Representations of Subgraphs , (2017). 111 117 8215651 , 10.1109/ICDMW.2017.20 http://ieeexplore.ieee.org/document/8215651/
- Ahlem Drif, Abdellah Boukerram, Yacine Slimani and Silvia Giordano, Can we recognize the next user’s mobile community?, Complex Networks & Their Applications V, 10.1007/978-3-319-50901-3_27, (335-346), (2016). 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Nanjing 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) IEEE , (2017). 978-1-5386-1829-5 Min Xu and Yongchao Yin A similarity index algorithm for link prediction , (2017). 1 6 8258724 , 10.1109/ISKE.2017.8258724 http://ieeexplore.ieee.org/document/8258724/
- Pablo Valdes-Donoso, Kimberly VanderWaal, Lovell S. Jarvis, Spencer R. Wayne and Andres M. Perez, Using Machine Learning to Predict Swine Movements within a Regional Program to Improve Control of Infectious Diseases in the US, Frontiers in Veterinary Science, 4, (2017).
- Cuneyt Gurcan Akcora and Elena Ferrari, Similarity Metrics on Social Networks, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_252-1, (1-9), (2017). 2017 3rd International Conference on Information Management (ICIM) Chengdu, China 2017 3rd International Conference on Information Management (ICIM) IEEE , (2017). 978-1-5090-6304-8 978-1-5090-6306-2 Haichi Liu, Ting Wang, Jintao Tang, Hong Ning and Dengping Wei Link prediction of datasets sameAS interlinking network on web of data , (2017). 346 352 7950406 , 10.1109/INFOMAN.2017.7950406 http://ieeexplore.ieee.org/document/7950406/ 2017 11th International Conference on Research Challenges in Information Science (RCIS) Brighton, United Kingdom 2017 11th International Conference on Research Challenges in Information Science (RCIS) IEEE , (2017). 978-1-5090-5476-3 Oualid Benyahia, Christine Largeron and Baptiste Jeudy Community detection in dynamic graphs with missing edges , (2017). 372 381 7956562 , 10.1109/RCIS.2017.7956562 http://ieeexplore.ieee.org/document/7956562/
- Yunpeng Zhao, A survey on theoretical advances of community detection in networks, Wiley Interdisciplinary Reviews: Computational Statistics, 9, 5, (2017).
- Jiangning He, Hongyan Liu, Raymond Y. K. Lau and Jun He, Relationship Identification Across Heterogeneous Online Social Networks, Computational Intelligence, 33, 3, (448-477), (2016).
- Marwin H. S. Segler and Mark P. Waller, Modelling Chemical Reasoning to Predict and Invent Reactions, Chemistry – A European Journal, 23, 25, (6118-6128), (2017).
- Benjamin Paaßen, Christina Göpfert and Barbara Hammer, Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces, Neural Processing Letters, (2017).
- Jake Lever, Sitanshu Gakkhar, Michael Gottlieb, Tahereh Rashnavadi, Santina Lin, Celia Siu, Maia Smith, Martin R Jones, Martin Krzywinski and Steven J M Jones, A collaborative filtering-based approach to biomedical knowledge discovery, Bioinformatics, (2017).
- Konstantin Avrachenkov, Pavel Chebotarev and Dmytro Rubanov, Kernels on Graphs as Proximity Measures, Algorithms and Models for the Web Graph, 10.1007/978-3-319-67810-8_3, (27-41), (2017). Yucong Duan the 2017 International Conference DMCIT '17 Phuket, Thailand Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology - DMCIT '17 Data Mining, Communications and Information Technology ACM Press New York, New York, USA , (2017). 9781450352185 , 10.1145/3089871 20170711040044 http://dl.acm.org/citation.cfm?doid=3089871 Hyoungjun Jeon and Taewhan Kim Community-Adaptive Link Prediction , (2017). 1 5 , 10.1145/3089871.3089879 20170711040046 http://dl.acm.org/citation.cfm?doid=3089871.3089879
- Jiehua Wu, Guoji Zhang and Yazhou Ren, A balanced modularity maximization link prediction model in social networks, Information Processing & Management, 53, 1, (295), (2017). 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) Atlanta, GA, USA 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) IEEE , (2017). 978-1-5386-1792-2 Jiawei Zhang, Charu C. Aggarwal and Philip S. Yu Rumor Initiator Detection in Infected Signed Networks , (2017). 1900 1909 7980130 , 10.1109/ICDCS.2017.72 http://ieeexplore.ieee.org/document/7980130/
- Mattia G. Campana and Franca Delmastro, Recommender Systems for Online and Mobile Social Networks: A survey, Online Social Networks and Media, 3-4, (75), (2017).
- Ling Jiang and Christopher C. Yang, User recommendation in healthcare social media by assessing user similarity in heterogeneous network, Artificial Intelligence in Medicine, 10.1016/j.artmed.2017.03.002, 81, (63-77), (2017).
- Jinseok Kim and Jana Diesner, Over-time measurement of triadic closure in coauthorship networks, Social Network Analysis and Mining, 7, 1, (2017).
- Xiangxiang Zeng, Yuanlu Liao, Yuansheng Liu and Quan Zou, Prediction and Validation of Disease Genes Using HeteSim Scores, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14, 3, (687), (2017).
- Claudio Durán, Simone Daminelli, Josephine M. Thomas, V. Joachim Haupt, Michael Schroeder and Carlo Vittorio Cannistraci, Pioneering topological methods for network-based drug–target prediction by exploiting a brain-network self-organization theory, Briefings in Bioinformatics, (2017).
- Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun and Philip S. Yu, A Survey of Heterogeneous Information Network Analysis, IEEE Transactions on Knowledge and Data Engineering, 29, 1, (17), (2017).
- Sho Yokoi, Hiroshi Kajino and Hisashi Kashima, Link Prediction in Sparse Networks by Incidence Matrix Factorization, Journal of Information Processing, 25, 0, (477), (2017).
- Weiguo Zheng, Lei Zou, Lei Chen and Dongyan Zhao, Efficient SimRank-Based Similarity Join, ACM Transactions on Database Systems, 42, 3, (1), (2017).
- Meng Jiang, Behavior Modeling in Social Networks, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_110203-1, (1-11), (2017). 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP), (2017).Wei Zhang, Dan Wu, Xiaoming Chen, Junyue Qu and Yueming Cai110.1109/WCSP.2017.8171077
- Mark Huisman and Robert W. Krause, Imputation of Missing Network Data, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_394-1, (1-10), (2017). Ee-Peng Lim, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li, Marianne Winslett, Mark Sanderson, Ada Fu, Jimeng Sun, Shane Culpepper, Eric Lo, Joyce Ho and Debora Donato the 2017 ACM CIKM '17 Singapore, Singapore Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2017). 9781450349185 , 10.1145/3132847 20171106081504 http://dl.acm.org/citation.cfm?doid=3132847 Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang and Jiawei Han An Attention-based Collaboration Framework for Multi-View Network Representation Learning , (2017). 1767 1776 , 10.1145/3132847.3133021 20171106081512 http://dl.acm.org/citation.cfm?doid=3132847.3133021 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Tokyo, Japan 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2017). 978-1-5090-5004-8 Linchuan Xu, Xiaokai Wei, Jiannong Cao and Philip S. Yu Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning , (2017). 676 685 8259830 , 10.1109/DSAA.2017.21 http://ieeexplore.ieee.org/document/8259830/ Jana Diesner, Elena Ferrari and Guandong Xu the 2017 IEEE/ACM International Conference ASONAM '17 Sydney, Australia Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17 Advances in Social Networks Analysis and Mining 2017 ACM Press New York, New York, USA , (2017). 9781450349932 , 10.1145/3110025 20171114093415 http://dl.acm.org/citation.cfm?doid=3110025 Nazim Choudhury and Shahadat Uddin Mining Actor-level Structural and Neighborhood Evolution for Link Prediction in Dynamic Networks , (2017). 721 728 , 10.1145/3110025.3119401 20171114093418 http://dl.acm.org/citation.cfm?doid=3110025.3119401
- Yingying Liang, Lan Huang and Zhe Wang, Link prediction in social network based on local information and attributes of nodes, Journal of Physics: Conference Series, 887, (012043), (2017). 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Tokyo, Japan 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2017). 978-1-5090-5004-8 Linchuan Xu, Xiaokai Wei, Jiannong Cao and Philip S. Yu Multi-task Network Embedding , (2017). 571 580 8259819 , 10.1109/DSAA.2017.19 http://ieeexplore.ieee.org/document/8259819/ 2017 IEEE International Conference on Data Mining (ICDM) New Orleans, LA 2017 IEEE International Conference on Data Mining (ICDM) IEEE , (2017). 978-1-5386-3835-4 Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro and Christos Faloutsos TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award) , (2017). 71 80 8215479 , 10.1109/ICDM.2017.16 http://ieeexplore.ieee.org/document/8215479/ 2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Bratislava, Slovakia 2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) IEEE , (2017). 978-1-5386-0756-5 Maria Evangelia G. Pavlopoulou, Grigorios Tzortzis, Dimitrios Vogiatzis and George Paliouras Predicting the evolution of communities in social networks using structural and temporal features , (2017). 40 45 8022665 , 10.1109/SMAP.2017.8022665 http://ieeexplore.ieee.org/document/8022665/
- Luoyi Fu, Xinzhe Fu, Zhiying Xu, Qianyang Peng, Xinbing Wang and Songwu Lu, Determining Source–Destination Connectivity in Uncertain Networks: Modeling and Solutions, IEEE/ACM Transactions on Networking, 25, 6, (3237), (2017).
- Fatemeh Salehi Rizi, Michael Granitzer and Konstantin Ziegler, Properties of Vector Embeddings in Social Networks, Algorithms, 10, 4, (109), (2017).
- Tomaž Hočevar, Janez Demšar and J. Alberto Conejero, Combinatorial algorithm for counting small induced graphs and orbits, PLOS ONE, 12, 2, (e0171428), (2017). 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Malatya 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) IEEE , (2017). 978-1-5386-1880-6 Esra Gundogan and Buket Kaya A link prediction approach for drug recommendation in disease-drug bipartite network , (2017). 1 4 8090219 , 10.1109/IDAP.2017.8090219 http://ieeexplore.ieee.org/document/8090219/
- Nazim Choudhury and Shahadat Uddin, Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks, Complex Networks VIII, 10.1007/978-3-319-54241-6_9, (109-118), (2017).
- Qing Guan and Haizhong An, The exploration on the trade preferences of cooperation partners in four energy commodities’ international trade: Crude oil, coal, natural gas and photovoltaic, Applied Energy, 203, (154), (2017).
- Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, Rongjing Hu and Zhili Zhao, Link prediction based on local weighted paths for complex networks, International Journal of Modern Physics C, 28, 04, (1750053), (2017). Jana Diesner, Elena Ferrari and Guandong Xu the 2017 IEEE/ACM International Conference ASONAM '17 Sydney, Australia Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17 Advances in Social Networks Analysis and Mining 2017 ACM Press New York, New York, USA , (2017). 9781450349932 , 10.1145/3110025 20171114093415 http://dl.acm.org/citation.cfm?doid=3110025 Thibaud Arnoux, Lionel Tabourier and Matthieu Latapy Combining structural and dynamic information to predict activity in link streams , (2017). 935 942 , 10.1145/3110025.3116209 20171114093419 http://dl.acm.org/citation.cfm?doid=3110025.3116209
- Sihyun Jeong, Jaehoon Lee, Junhyun Park and Chong-kwon Kim, The Social Relation Key: A new paradigm for security, Information Systems, 71, (68), (2017).
- Boyoung Yoo, Fazle Elahi Faisal, Huili Chen and Tijana Milenkovic, Improving Identification of Key Players in Aging via Network De-Noising and Core Inference, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10.1109/TCBB.2015.2495170, 14, 5, (1056-1069), (2017).
- Alejandro Baldominos, Javier Calle and Dolores Cuadra, Beyond social graphs: mining patterns underlying social interactions, Pattern Analysis and Applications, 20, 1, (269), (2017).
- Mauro Coletto, Kiran Garimella, Aristides Gionis and Claudio Lucchese, Automatic controversy detection in social media: A content-independent motif-based approach, Online Social Networks and Media, 3-4, (22), (2017). 2017 IEEE International Conference on Information Reuse and Integration (IRI) San Diego, CA 2017 IEEE International Conference on Information Reuse and Integration (IRI) IEEE , (2017). 978-1-5386-1562-1 Norases Vesdapunt and Hector Garcia-Molina Link Prediction and Hybrid Strategies for Updating a Social Graph Snapshot via a Limited API , (2017). 207 216 8102939 , 10.1109/IRI.2017.15 http://ieeexplore.ieee.org/document/8102939/ 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Mashhad 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) IEEE , (2017). 978-1-5386-0804-3 Saina Mohamadyari, Niousha Attar and Sadegh Aliakbary On feature prediction in temporal social networks based on artificial neural network learning , (2017). 303 307 8167896 , 10.1109/ICCKE.2017.8167896 http://ieeexplore.ieee.org/document/8167896/ Rick Barrett, Rick Cummings, Eugene Agichtein and Evgeniy Gabrilovich the 26th International Conference WWW '17 Perth, Australia Proceedings of the 26th International Conference on World Wide Web - WWW '17 World Wide Web ACM Press New York, New York, USA , (2017). 9781450349130 , 10.1145/3038912 20170406092841 http://dl.acm.org/citation.cfm?doid=3038912 Marco Brambilla, Stefano Ceri, Emanuele Della Valle, Riccardo Volonterio and Felix Xavier Acero Salazar Extracting Emerging Knowledge from Social Media , (2017). 795 804 , 10.1145/3038912.3052697 20170406092846 http://dl.acm.org/citation.cfm?doid=3038912.3052697
- Ke-ke Shang, Michael Small, Xiao-ke Xu and Wei-sheng Yan, The role of direct links for link prediction in evolving networks, EPL (Europhysics Letters), 117, 2, (28002), (2017).
- Guillermo Jimenez-Diaz, Pedro Pablo Gómez-Martín, Marco Antonio Gómez-Martín, Antonio A. Sánchez-Ruiz, Belén Díaz Agudo and Ashok Goel, Similarity metrics from social network analysis for content recommender systems, AI Communications, 30, 3-4, (223), (2017).
- Chaoqun Chen, Sanhong Deng, Jing Lu, Bing Xu and Yinong Chen, Link prediction in author collaboration network based on BP neural network, MATEC Web of Conferences, 139, (00073), (2017).
- Xin Wang, Ying Wang and Jian-hua Guo, Building trust networks in the absence of trust relations, Frontiers of Information Technology & Electronic Engineering, 18, 10, (1591), (2017). Stan Matwin, Shipeng Yu and Faisal Farooq the 23rd ACM SIGKDD International Conference KDD '17 Halifax, NS, Canada Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2017). 9781450348874 , 10.1145/3097983 20170804015318 http://dl.acm.org/citation.cfm?doid=3097983 Yuxiao Dong, Reid A. Johnson, Jian Xu and Nitesh V. Chawla Structural Diversity and Homophily A Study Across More Than One Hundred Big Networks , (2017). 807 816 , 10.1145/3097983.3098116 20170804015321 http://dl.acm.org/citation.cfm?doid=3097983.3098116
- Kushal Veer Singh and Lovekesh Vig, Improved prediction of missing protein interactome links via anomaly detection, Applied Network Science, 2, 1, (2017).
- Yun Zhou, Zhiyuan Wang, Jie Tang and Jar-Der Luo, Chapter 6 Prediction of Venture Capital Coinvestment Based on Structural Balance Theory, Social Network Analysis, 10.1201/9781315369594-7, (137-176), (2017).
- Fatemeh Vahedian, Robin Burke and Bamshad Mobasher, Multirelational Recommendation in Heterogeneous Networks, ACM Transactions on the Web, 11, 3, (1), (2017).
- Michele A. Brandão and Mirella M. Moro, Social professional networks: A survey and taxonomy, Computer Communications, 100, (20), (2017).
- Mohamed Ismail Maiza, Chiheb-Eddine Ben N’Cir and Nadia Essoussi, Overlapping Community Detection Method for Social Networks, Digital Economy. Emerging Technologies and Business Innovation, 10.1007/978-3-319-62737-3_12, (143-151), (2017).
- Jamal Maktoubian, Mohebollah Noori, Mahta Amini and Mehran Ghasempour-Mouziraji, The Hierarchy Structure in Directed and Undirected Signed Networks, International Journal of Communications, Network and System Sciences, 10.4236/ijcns.2017.1010012, 10, 10, (209-222), (2017).
- Xiao Zhang, Cristopher Moore and Mark E. J. Newman, Random graph models for dynamic networks, The European Physical Journal B, 90, 10, (2017).
- Niladri Sett, Saptarshi Basu, Sukumar Nandi and Sanasam Ranbir Singh, Temporal link prediction in multi-relational network, World Wide Web, (2017).
- Luca Oneto, Nicolò Navarin, Alessandro Sperduti and Davide Anguita, Multilayer Graph Node Kernels: Stacking While Maintaining Convexity, Neural Processing Letters, (2017).
- Yiding Lu, Yufan Guo and Anna Korhonen, Link prediction in drug-target interactions network using similarity indices, BMC Bioinformatics, 18, 1, (2017).
- Sogol Haghani and Mohammad Reza Keyvanpour, A systemic analysis of link prediction in social network, Artificial Intelligence Review, (2017).
- Zhepeng (Lionel) Li, Xiao Fang and Olivia R. Liu Sheng, A Survey of Link Recommendation for Social Networks, ACM Transactions on Management Information Systems, 9, 1, (1), (2017).
- Soumajyoti Sarkar, Ruocheng Guo and Paulo Shakarian, Understanding and forecasting lifecycle events in information cascades, Social Network Analysis and Mining, 7, 1, (2017). 2017 4th NAFOSTED Conference on Information and Computer Science Hanoi 2017 4th NAFOSTED Conference on Information and Computer Science IEEE , (2017). 978-1-5386-3210-9 Tri-Dung Hua, Anh-Thu Nguyen-Thi and Tu-Anh Hoang Nguyen Link prediction in weighted network based on reliable routes by machine learning approach , (2017). 236 241 8108070 , 10.1109/NAFOSTED.2017.8108070 http://ieeexplore.ieee.org/document/8108070/
- Tong Wang, Xing-Sheng He, Ming-Yang Zhou and Zhong-Qian Fu, Link Prediction in Evolving Networks Based on Popularity of Nodes, Scientific Reports, 7, 1, (2017). Bhavani Thuraisingham, David Evans, Tal Malkin and Dongyan Xu the 2017 ACM SIGSAC Conference CCS '17 Dallas, Texas, USA Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security - CCS '17 Computer and Communications Security ACM Press New York, New York, USA , (2017). 9781450349468 , 10.1145/3133956 20171027082739 http://dl.acm.org/citation.cfm?doid=3133956 Michael Backes, Mathias Humbert, Jun Pang and Yang Zhang walk2friends Inferring Social Links from Mobility Profiles , (2017). 1943 1957 , 10.1145/3133956.3133972 20171027082746 http://dl.acm.org/citation.cfm?doid=3133956.3133972
- Venkata M. V. Gunturi, Ivan Brugere and Shashi Shekhar, Modeling and Analysis of Spatiotemporal Social Networks, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_320-1, (1-12), (2017).
- Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du and Meng Wang, Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services, IEEE Transactions on Knowledge and Data Engineering, 29, 6, (1240), (2017).
- Christoph Schulz, Arlind Nocaj, Jochen Goertler, Oliver Deussen, Ulrik Brandes and Daniel Weiskopf, Probabilistic Graph Layout for Uncertain Network Visualization, IEEE Transactions on Visualization and Computer Graphics, 23, 1, (531), (2017).
- Wen Zhou and Yifan Jia, Predicting links based on knowledge dissemination in complex network, Physica A: Statistical Mechanics and its Applications, 471, (561), (2017).
- Sabrine Mallek, Imen Boukhris, Zied Elouedi and Eric Lefevre, Evidential k-NN for Link Prediction, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 10.1007/978-3-319-61581-3_19, (201-211), (2017).
- Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Lance Kaplan and Jiawei Han, Embedding Learning with Events in Heterogeneous Information Networks, IEEE Transactions on Knowledge and Data Engineering, 29, 11, (2428), (2017).
- Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng and Yu Yang, An Influence Propagation View of PageRank, ACM Transactions on Knowledge Discovery from Data, 10.1145/3046941, 11, 3, (1-30), (2017).
- Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu and Edward Y. Chang, A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories, ACM Transactions on Information Systems, 35, 4, (1), (2017). Maarten de Rijke, Milad Shokouhi, Andrew Tomkins and Min Zhang the Tenth ACM International Conference WSDM '17 Cambridge, United Kingdom Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17 Web Search and Data Mining ACM Press New York, New York, USA , (2017). 9781450346757 , 10.1145/3018661 20170202030443 http://dl.acm.org/citation.cfm?doid=3018661 Jing Wang, Jie Shen, Ping Li and Huan Xu Online Matrix Completion for Signed Link Prediction , (2017). 475 484 , 10.1145/3018661.3018681 20170202030445 http://dl.acm.org/citation.cfm?doid=3018661.3018681
- Buket Kaya and Mustafa Poyraz, Extracting Relations Between Symptoms by Age-Frame Based Link Prediction, Prediction and Inference from Social Networks and Social Media, 10.1007/978-3-319-51049-1_4, (85-95), (2017).
- Fabrice Muhlenbach, Christine Largeron and Johann Stan, Recommender Systems Using Social Network Analysis: Challenges and Future Trends, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_35-1, (1-14), (2017). Paolo Boldi, Katharina Kinder-Kurlanda, Peter Fox, Deborah McGuinness and Lindsay Poirer the 2017 ACM WebSci '17 Troy, New York, USA Proceedings of the 2017 ACM on Web Science Conference - WebSci '17 Web Science Conference ACM Press New York, New York, USA , (2017). 9781450348966 , 10.1145/3091478 20170710081136 http://dl.acm.org/citation.cfm?doid=3091478 Govind and Marc Spaniol ELEVATE A Framework for Entity-level Event Diffusion Prediction into Foreign Language Communities , (2017). 111 120 , 10.1145/3091478.3091481 20170710081138 http://dl.acm.org/citation.cfm?doid=3091478.3091481 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Orlando / Buena Vista, FL, USA 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) IEEE , (2017). 978-1-5386-3408-0 George Cybenko Parallel Computing for Machine Learning in Social Network Analysis , (2017). 1464 1471 7965209 , 10.1109/IPDPSW.2017.178 http://ieeexplore.ieee.org/document/7965209/ Stan Matwin, Shipeng Yu and Faisal Farooq the 23rd ACM SIGKDD International Conference KDD '17 Halifax, NS, Canada Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2017). 9781450348874 , 10.1145/3097983 20170804015318 http://dl.acm.org/citation.cfm?doid=3097983 Muhan Zhang and Yixin Chen Weisfeiler-Lehman Neural Machine for Link Prediction , (2017). 575 583 , 10.1145/3097983.3097996 20170804015320 http://dl.acm.org/citation.cfm?doid=3097983.3097996 2017 IEEE International Conference on Big Data (Big Data) Boston, MA 2017 IEEE International Conference on Big Data (Big Data) IEEE , (2017). 978-1-5386-2715-0 Haekyu Park, Jinhong Jung and U. Kang A comparative study of matrix factorization and random walk with restart in recommender systems , (2017). 756 765 8257991 , 10.1109/BigData.2017.8257991 http://ieeexplore.ieee.org/document/8257991/
- Erick Stattner, Reynald Eugenie and Martine Collard, PALM: A Parallel Mining Algorithm for Extracting Maximal Frequent Conceptual Links from Social Networks, Database and Expert Systems Applications, 10.1007/978-3-319-64471-4_21, (259-274), (2017).
- Behnaz Moradabadi and Mohammad Reza Meybodi, A novel time series link prediction method: Learning automata approach, Physica A: Statistical Mechanics and its Applications, 482, (422), (2017). Jana Diesner, Elena Ferrari and Guandong Xu the 2017 IEEE/ACM International Conference ASONAM '17 Sydney, Australia Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17 Advances in Social Networks Analysis and Mining 2017 ACM Press New York, New York, USA , (2017). 9781450349932 , 10.1145/3110025 20171114093415 http://dl.acm.org/citation.cfm?doid=3110025 Erick Stattner and Martine Collard Link Clustering for Extracting Collaborative Patterns in a Scientific Co-Authored Network , (2017). 1002 1008 , 10.1145/3110025.3110146 20171114093420 http://dl.acm.org/citation.cfm?doid=3110025.3110146
- Panpan Pei, Bo Liu and Licheng Jiao, Link prediction in complex networks based on an information allocation index, Physica A: Statistical Mechanics and its Applications, 470, (1), (2017).
- Samuel Venner, Vincent Miele, Christophe Terzian, Christian Biémont, Vincent Daubin, Cédric Feschotte and Dominique Pontier, Ecological networks to unravel the routes to horizontal transposon transfers, PLOS Biology, 15, 2, (e2001536), (2017).
- Qi Wang, Jian Ma, Xiuwu Liao and Wei Du, A context-aware researcher recommendation system for university-industry collaboration on R&D projects, Decision Support Systems, 103, (46), (2017).
- Wenbin Hu, Huan Wang, Chao Peng, Huanle Liang and Bo Du, An event detection method for social networks based on link prediction, Information Systems, 71, (16), (2017).
- Yuxin Chen and Chenguang Wang, HINE: Heterogeneous Information Network Embedding, Database Systems for Advanced Applications, 10.1007/978-3-319-55753-3_12, (180-195), (2017).
- Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei and Philip Yu, Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks, Sensors, 17, 8, (1786), (2017).
- Xiaoke Ma, Penggang Sun and Guimin Qin, Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability, Pattern Recognition, 71, (361), (2017).
- Andrei Lebedev, JooYoung Lee, Victor Rivera and Manuel Mazzara, Link Prediction Using Top-k Shortest Distances, Data Analytics, 10.1007/978-3-319-60795-5_10, (101-105), (2017). 2017 IEEE International Conference on Communications (ICC), (2017).Sima Das and Sajal K. Das110.1109/ICC.2017.7996909
- Juan Lu, Zhiguo Gong and Xuemin Lin, A Novel and Fast SimRank Algorithm, IEEE Transactions on Knowledge and Data Engineering, 29, 3, (572), (2017).
- Abtin Khodadadi and Mahdi Jalili, Sign prediction in social networks based on tendency rate of equivalent micro-structures, Neurocomputing, 257, (175), (2017).
- Nora Connor, Albert Barberán, Aaron Clauset and Renaud Lambiotte, Using null models to infer microbial co-occurrence networks, PLOS ONE, 12, 5, (e0176751), (2017).
- Yabing Yao, Ruisheng Zhang, Fan Yang, Yongna Yuan, Qingshuang Sun, Yu Qiu and Rongjing Hu, Link prediction via layer relevance of multiplex networks, International Journal of Modern Physics C, 28, 08, (1750101), (2017).
- Liang Duan, Shuai Ma, Charu Aggarwal, Tiejun Ma and Jinpeng Huai, An Ensemble Approach to Link Prediction, IEEE Transactions on Knowledge and Data Engineering, 29, 11, (2402), (2017). 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Poznan, Poland 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) IEEE , (2017). 978-1-5386-1759-5 Krzysztof Juszczyszyn, Grzegorz Kolaczek and Dominika Dudziak-Gajowiak Structural Analysis and Link Prediction in Dynamic Networks of Web Services , (2017). 144 149 8003805 , 10.1109/WETICE.2017.55 http://ieeexplore.ieee.org/document/8003805/
- Peng Luo, Chong Wu and Yongli Li, Link prediction measures considering different neighbors’ effects and application in social networks, International Journal of Modern Physics C, 28, 03, (1750033), (2017).
- Ranjan Kumar Behera, Lov Kumar, Monalisa Jena, Sambit Mahapatra, Abhishek Sai Shukla and Santanu Kumar Rath, Nearness and Influence Based Link Prediction (NILP) in Distributed Platform, Computational Science and Its Applications – ICCSA 2017, 10.1007/978-3-319-62407-5_23, (325-334), (2017).
- Zhepeng Li, Xiao Fang, Xue Bai and Olivia R. Liu Sheng, Utility-Based Link Recommendation for Online Social Networks, Management Science, 63, 6, (1938), (2017).
- Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani and Huan Liu, User Identity Linkage across Online Social Networks, ACM SIGKDD Explorations Newsletter, 18, 2, (5), (2017).
- Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva, Querying Volatile and Dynamic Networks, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_390-1, (1-8), (2017). 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE) Galati 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE) IEEE , (2017). 978-1-5386-2059-5 Amjad Jumaah Frhan Visualization and analysis of user behaviour patterns for multimedia content view in social networks , (2017). 1 7 8170685 , 10.1109/ISEEE.2017.8170685 http://ieeexplore.ieee.org/document/8170685/ 2017 IEEE International Conference on Web Services (ICWS) Honolulu, HI, USA 2017 IEEE International Conference on Web Services (ICWS) IEEE , (2017). 978-1-5386-0752-7 Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin and Manil Maskey A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation , (2017). 220 228 8029765 , 10.1109/ICWS.2017.36 http://ieeexplore.ieee.org/document/8029765/
- E. Auclair, N. Peyrard and R. Sabbadin, Labeled DBN Learning with Community Structure Knowledge, Machine Learning and Knowledge Discovery in Databases, 10.1007/978-3-319-71246-8_10, (158-174), (2017).
- F. Liberatore and L. Quijano-Sanchez, What do we really need to compute the Tie Strength? An empirical study applied to Social Networks, Computer Communications, 110, (59), (2017).
- Yongli Li, Peng Luo, Zhi-ping Fan, Kun Chen and Jiaguo Liu, A utility-based link prediction method in social networks, European Journal of Operational Research, 260, 2, (693), (2017).
- Likang Yin, Haoyang Zheng, Tian Bian and Yong Deng, An evidential link prediction method and link predictability based on Shannon entropy, Physica A: Statistical Mechanics and its Applications, 482, (699), (2017).
- Hao Liao, Manuel Sebastian Mariani, Matúš Medo, Yi-Cheng Zhang and Ming-Yang Zhou, Ranking in evolving complex networks, Physics Reports, 10.1016/j.physrep.2017.05.001, 689, (1-54), (2017).
- Cem Aksoylar, Jing Qian and Venkatesh Saligrama, Clustering and Community Detection With Imbalanced Clusters, IEEE Transactions on Signal and Information Processing over Networks, 3, 1, (61), (2017). Sung Y. Shin, Dongwan Shin and Maria Lencastre the Symposium SAC '17 Marrakech, Morocco Proceedings of the Symposium on Applied Computing - SAC '17 Applied Computing ACM Press New York, New York, USA , (2017). 9781450344869 , 10.1145/3019612 20170919041750 http://dl.acm.org/citation.cfm?doid=3019612 Prokopios Gryllos, Christos Makris and Pantelis Vikatos Marketing campaign targeting using bridge extraction , (2017). 1045 1052 , 10.1145/3019612.3019814 20170919041801 http://dl.acm.org/citation.cfm?doid=3019612.3019814
- Víctor Martínez, Fernando Berzal and Juan-Carlos Cubero, Probabilistic Local Link Prediction in Complex Networks, Scalable Uncertainty Management, 10.1007/978-3-319-67582-4_28, (391-396), (2017).
- Salim Afra, Alper Aksaç, Tansel Õzyer and Reda Alhajj, Link Prediction by Network Analysis, Prediction and Inference from Social Networks and Social Media, 10.1007/978-3-319-51049-1_5, (97-114), (2017).
- Thiamthep Khamket, Arnon Rungsawang and Bundit Manaskasemsak, Topic Preference-based Random Walk Approach for Link Prediction in Social Networks, Intelligent Information and Database Systems, 10.1007/978-3-319-54472-4_12, (120-129), (2017).
- Hajer Kefi and Charles Perez, Dark Side of Online Social Networks: Technical, Managerial, and Behavioral Perspectives, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_110217-1, (1-22), (2017).
- Sadegh Sulaimany, Mohammad Khansari, Peyman Zarrineh, Madelaine Daianu, Neda Jahanshad, Paul M. Thompson and Ali Masoudi-Nejad, Predicting brain network changes in Alzheimer's disease with link prediction algorithms, Molecular BioSystems, 13, 4, (725), (2017).
- T. Jaya Lakshmi and S. Durga Bhavani, Link Prediction in Temporal Heterogeneous Networks, Intelligence and Security Informatics, 10.1007/978-3-319-57463-9_6, (83-98), (2017). 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Tokyo, Japan 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2017). 978-1-5090-5004-8 Linchuan Xu, Xiaokai Wei, Jiannong Cao and Philip S. Yu Multiple Social Role Embedding , (2017). 581 589 8259820 , 10.1109/DSAA.2017.23 http://ieeexplore.ieee.org/document/8259820/
- Luis G. Moyano, Learning network representations, The European Physical Journal Special Topics, 226, 3, (499), (2017).
- Yongjun Li, Nan Fang, Zun Liu and Hui Yu, Inferring Advisor-Student Relationships from Publication Networks Based on Approximate MaxConfidence Measure, Mathematical Problems in Engineering, 2017, (1), (2017).
- Nancy Girdhar and K. K. Bharadwaj, Signed Social Networks: A Survey, Advances in Computing and Data Sciences, 10.1007/978-981-10-5427-3_35, (326-335), (2017).
- Zeng-Zhen Shao, Zu-Jun Ma, Jiuh-Biing Sheu and H. Oliver Gao, Evaluation of large-scale transnational high-speed railway construction priority in the belt and road region, Transportation Research Part E: Logistics and Transportation Review, 10.1016/j.tre.2017.07.007, (2017). 2017 International Joint Conference on Neural Networks (IJCNN) Anchorage, AK 2017 International Joint Conference on Neural Networks (IJCNN) IEEE , (2017). 978-1-5090-6182-2 Luca Oneto, Nicolo Navarin, Alessandro Sperduti and Davide Anguita Deep graph node kernels: A convex approach , (2017). 316 323 7965871 , 10.1109/IJCNN.2017.7965871 http://ieeexplore.ieee.org/document/7965871/
- Baoxu Shi, Lin Yang and Tim Weninger, Forward backward similarity search in knowledge networks, Knowledge-Based Systems, 119, (20), (2017).
- Tao Wu, Leiting Chen, Linfeng Zhong and Xingping Xian, Predicting the evolution of complex networks via similarity dynamics, Physica A: Statistical Mechanics and its Applications, 465, (662), (2017).
- Chuan Shi and Philip S. Yu, Survey of Current Developments, Heterogeneous Information Network Analysis and Applications, 10.1007/978-3-319-56212-4_2, (13-30), (2017). IEEE INFOCOM 2017 - IEEE Conference on Computer Communications Atlanta, GA, USA IEEE INFOCOM 2017 - IEEE Conference on Computer Communications IEEE , (2017). 978-1-5090-5336-0 Aakas Zhiyuli, Xun Liang and Zhiming Xu Learning distributed representations for large-scale dynamic social networks , (2017). 1 9 8057104 , 10.1109/INFOCOM.2017.8057104 http://ieeexplore.ieee.org/document/8057104/
- Pradip Kumar Sharma, Shailendra Rathore and Jong Hyuk Park, Multilevel learning based modeling for link prediction and users’ consumption preference in Online Social Networks, Future Generation Computer Systems, (2017). 2017 International Joint Conference on Neural Networks (IJCNN) Anchorage, AK, USA 2017 International Joint Conference on Neural Networks (IJCNN) IEEE , (2017). 978-1-5090-6182-2 Yuchen Hou and Lawrence B. Holder Deep learning approach to link weight prediction , (2017). 1855 1862 7966076 , 10.1109/IJCNN.2017.7966076 http://ieeexplore.ieee.org/document/7966076/
- Antoine Allard, M. Ángeles Serrano, Guillermo García-Pérez and Marián Boguñá, The geometric nature of weights in real complex networks, Nature Communications, 8, (14103), (2017).
- Eisha Nathan, Geoffrey Sanders, James Fairbanks, Van Emden Henson and David A. Bader, Graph Ranking Guarantees for Numerical Approximations to Katz Centrality, Procedia Computer Science, 108, (68), (2017).
- Hong Huang, Jie Tang, Lu Liu, Jar-Der Luo and Xiaoming Fu, Chapter 5 Analysis and Prediction of Triadic Closure in Online Social Networks, Social Network Analysis, 10.1201/9781315369594-6, (105-136), (2017). Maarten de Rijke, Milad Shokouhi, Andrew Tomkins and Min Zhang the Tenth ACM International Conference WSDM '17 Cambridge, United Kingdom Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17 Web Search and Data Mining ACM Press New York, New York, USA , (2017). 9781450346757 , 10.1145/3018661 20170202030443 http://dl.acm.org/citation.cfm?doid=3018661 Linchuan Xu, Xiaokai Wei, Jiannong Cao and Philip S. Yu Embedding of Embedding (EOE) Joint Embedding for Coupled Heterogeneous Networks , (2017). 741 749 , 10.1145/3018661.3018723 20170202030446 http://dl.acm.org/citation.cfm?doid=3018661.3018723
- Yakub Sebastian, Eu-Gene Siew and Sylvester Olubolu Orimaye, Learning the heterogeneous bibliographic information network for literature-based discovery, Knowledge-Based Systems, 10.1016/j.knosys.2016.10.015, 115, (66-79), (2017). Ee-Peng Lim, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li, Marianne Winslett, Mark Sanderson, Ada Fu, Jimeng Sun, Shane Culpepper, Eric Lo, Joyce Ho and Debora Donato the 2017 ACM CIKM '17 Singapore, Singapore Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2017). 9781450349185 , 10.1145/3132847 20171106081504 http://dl.acm.org/citation.cfm?doid=3132847 Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang and Huan Liu Attributed Network Embedding for Learning in a Dynamic Environment , (2017). 387 396 , 10.1145/3132847.3132919 20171106081508 http://dl.acm.org/citation.cfm?doid=3132847.3132919
- Ali Daud, Waqas Ahmed, Tehmina Amjad, Jamal Abdul Nasir, Naif Radi Aljohani, Rabeeh Ayaz Abbasi and Ishfaq Ahmad, Who will cite you back? Reciprocal link prediction in citation networks, Library Hi Tech, 35, 4, (509), (2017).
- Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes and Frank Schweitzer, From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles, Social Informatics, 10.1007/978-3-319-67256-4_11, (111-120), (2017).
- Manqing Ma, Wei Pang, Lan Huang and Zhe Wang, A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks, Advances in Knowledge Discovery and Data Mining, 10.1007/978-3-319-57454-7_58, (750-761), (2017). 2017 2nd International Conference on Advanced Information and Communication Technologies (AICT) Lviv, Ukraine 2017 2nd International Conference on Advanced Information and Communication Technologies (AICT) IEEE , (2017). 978-1-5386-0637-7 Esra Gundogan and Buket Kaya A recommendation method based on link prediction in drug-disease bipartite network , (2017). 125 128 8020081 , 10.1109/AIACT.2017.8020081 http://ieeexplore.ieee.org/document/8020081/ 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Mathura 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) IEEE , (2017). 978-1-5386-3004-4 Upasana Sharma, Sunil Kumar Khatri and L. M. Patnaik Performance evaluation of baseline link prediction techniques on simple and complex networks , (2017). 573 577 8251113 , 10.1109/UPCON.2017.8251113 http://ieeexplore.ieee.org/document/8251113/ Rick Barrett, Rick Cummings, Eugene Agichtein and Evgeniy Gabrilovich the 26th International Conference WWW '17 Perth, Australia Proceedings of the 26th International Conference on World Wide Web - WWW '17 World Wide Web ACM Press New York, New York, USA , (2017). 9781450349130 , 10.1145/3038912 20170406092841 http://dl.acm.org/citation.cfm?doid=3038912 Xin Wang, Steven C.H. Hoi, Martin Ester, Jiajun Bu and Chun Chen Learning Personalized Preference of Strong and Weak Ties for Social Recommendation , (2017). 1601 1610 , 10.1145/3038912.3052556 20170406092848 http://dl.acm.org/citation.cfm?doid=3038912.3052556 2017 IEEE 33rd International Conference on Data Engineering (ICDE) San Diego, CA, USA 2017 IEEE 33rd International Conference on Data Engineering (ICDE) IEEE , (2017). 978-1-5090-6543-1 Michele Coscia and Frank M.H. Neffke Network Backboning with Noisy Data , (2017). 425 436 7929996 , 10.1109/ICDE.2017.100 http://ieeexplore.ieee.org/document/7929996/
- Sanda Martinčić-Ipšić, Edvin Močibob, Matjaž Perc and Tobias Preis, Link prediction on Twitter, PLOS ONE, 12, 7, (e0181079), (2017).
- Sune Lehmann, Community Detection, Current, and Future Research Trends, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_27-1, (1-7), (2017).
- T. Jaya Lakshmi and S. Durga Bhavani, Temporal probabilistic measure for link prediction in collaborative networks, Applied Intelligence, 47, 1, (83), (2017).
- Jie Tang, Inferring Social Ties, Encyclopedia of Social Network Analysis and Mining, 10.1007/978-1-4614-7163-9_177-1, (1-9), (2017). 2017 Chinese Automation Congress (CAC) Jinan 2017 Chinese Automation Congress (CAC) IEEE , (2017). 978-1-5386-3524-7 Xuecheng Yu and Tianguang Chu Dynamic link prediction using restricted Boltzmann machine , (2017). 4089 4092 8243496 , 10.1109/CAC.2017.8243496 http://ieeexplore.ieee.org/document/8243496/
- Mostafa M. Elag, Praveen Kumar, Luigi Marini, James D. Myers, Margaret Hedstrom and Beth A. Plale, Identification and characterization of information-networks in long-tail data collections, Environmental Modelling & Software, 94, (100), (2017).
- Thomas Bläsius, Tobias Friedrich and Anton Krohmer, Cliques in Hyperbolic Random Graphs, Algorithmica, (2017).
- Tao Li, Yue Huang, Shu-Ching Chen, Jainendra Navlakha, S. S. Iyengar, Ning Xie, Chunqiu Zeng, Wubai Zhou, Li Zheng, Yexi Jiang, Yimin Yang, Hsin-Yu Ha and Wei Xue, Data-Driven Techniques in Disaster Information Management, ACM Computing Surveys, 50, 1, (1), (2017). Peter Dolog, Peter Vojtas, Francesco Bonchi and Denis Helic the 28th ACM Conference HT '17 Prague, Czech Republic Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17 Hypertext and Social Media ACM Press New York, New York, USA , (2017). 9781450347082 , 10.1145/3078714 20170628082729 http://dl.acm.org/citation.cfm?doid=3078714 Jun Pang and Yang Zhang Quantifying Location Sociality , (2017). 145 154 , 10.1145/3078714.3078729 20170628082730 http://dl.acm.org/citation.cfm?doid=3078714.3078729
- Raunak Shrestha, Ermin Hodzic, Thomas Sauerwald, Phuong Dao, Kendric Wang, Jake Yeung, Shawn Anderson, Fabio Vandin, Gholamreza Haffari, Colin C. Collins and S. Cenk Sahinalp, HIT'nDRIVE: patient-specific multidriver gene prioritization for precision oncology, Genome Research, 27, 9, (1573), (2017).
- Sho Tsugawa, Kosuke Kito and Alain Barrat, Retweets as a Predictor of Relationships among Users on Social Media, PLOS ONE, 12, 1, (e0170279), (2017). Maarten de Rijke, Milad Shokouhi, Andrew Tomkins and Min Zhang the Tenth ACM International Conference WSDM '17 Cambridge, United Kingdom Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17 Web Search and Data Mining ACM Press New York, New York, USA , (2017). 9781450346757 , 10.1145/3018661 20170202030443 http://dl.acm.org/citation.cfm?doid=3018661 Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang and ChengXiang Zhai Constructing and Embedding Abstract Event Causality Networks from Text Snippets , (2017). 335 344 , 10.1145/3018661.3018707 20170202030445 http://dl.acm.org/citation.cfm?doid=3018661.3018707
- Anders Mollgaard, Sune Lehmann, Joachim Mathiesen and Jose Javier Ramasco, Correlations between human mobility and social interaction reveal general activity patterns, PLOS ONE, 12, 12, (e0188973), (2017).
- Henry Navarro, Giovanna Miritello, Arturo Canales and Esteban Moro, Temporal patterns behind the strength of persistent ties, EPJ Data Science, 6, 1, (2017). Rick Barrett, Rick Cummings, Eugene Agichtein and Evgeniy Gabrilovich the 26th International Conference WWW '17 Perth, Australia Proceedings of the 26th International Conference on World Wide Web - WWW '17 World Wide Web ACM Press New York, New York, USA , (2017). 9781450349130 , 10.1145/3038912 20170406092841 http://dl.acm.org/citation.cfm?doid=3038912 Ali Pinar, C. Seshadhri and Vaidyanathan Vishal ESCAPE Efficiently Counting All 5-Vertex Subgraphs , (2017). 1431 1440 , 10.1145/3038912.3052597 20170406092848 http://dl.acm.org/citation.cfm?doid=3038912.3052597
- Masataka ARAKI, Marie KATSURAI, Ikki OHMUKAI and Hideaki TAKEDA, Interdisciplinary Collaborator Recommendation Based on Research Content Similarity, IEICE Transactions on Information and Systems, E100.D, 4, (785), (2017).
- Ilya Makarov, Oleg Bulanov and Leonid E. Zhukov, Co-author Recommender System, Models, Algorithms, and Technologies for Network Analysis, 10.1007/978-3-319-56829-4_18, (251-257), (2017).
- Ofrit Lesser, Lihi Naamani-Dery, Meir Kalech and Yuval Elovici, Group Decision Support for Leisure Activities Using Voting and Social Networks, Group Decision and Negotiation, 26, 3, (473), (2017). 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Tokyo, Japan 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2017). 978-1-5090-5004-8 Adrien Dulac, Eric Gaussier and Christine Largeron A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks , (2017). 706 715 8259833 , 10.1109/DSAA.2017.58 http://ieeexplore.ieee.org/document/8259833/
- Wenjian Hu, Rajiv R. P. Singh and Richard T. Scalettar, Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination, Physical Review E, 10.1103/PhysRevE.95.062122, 95, 6, (2017).
- Cuiqi Si, Licheng Jiao, Jianshe Wu and Jin Zhao, A group evolving-based framework with perturbations for link prediction, Physica A: Statistical Mechanics and its Applications, 475, (117), (2017). Charlotte P. Lee, Steve Poltrock, Louise Barkhuus, Marcos Borges and Wendy Kellogg the 2017 ACM Conference CSCW '17 Portland, Oregon, USA Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 Computer Supported Cooperative Work and Social Computing ACM Press New York, New York, USA , (2017). 9781450343350 , 10.1145/2998181 20170214083446 http://dl.acm.org/citation.cfm?doid=2998181 Mattia Samory, Vincenzo-Maria Cappelleri and Enoch Peserico Quotes Reveal Community Structure and Interaction Dynamics , (2017). 322 335 , 10.1145/2998181.2998359 20170214083451 http://dl.acm.org/citation.cfm?doid=2998181.2998359
- Jake M. Hofman, Amit Sharma and Duncan J. Watts, Prediction and explanation in social systems, Science, 355, 6324, (486), (2017).
- Yasmine Chaabani and Jalel Akaichi, Meaningful communities detection in medias network, Social Network Analysis and Mining, 7, 1, (2017).
- Hiroki Takahashi and Masahiro Kimura, Analyzing Time-Decay Effects of Mediating-Objects in Creating Trust-Links, New Frontiers in Mining Complex Patterns, 10.1007/978-3-319-61461-8_7, (99-114), (2017). 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) Valencia, Spain 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) IEEE , (2017). 978-1-5090-4372-9 Debasis Das and Pushkar Sharma Algorithm for prediction of negative links using sentiment analysis in social networks , (2017). 1570 1575 7986518 , 10.1109/IWCMC.2017.7986518 http://ieeexplore.ieee.org/document/7986518/
- Jian Yang, Tinghong Yang, Duzhi Wu, Limei Lin, Fan Yang and Jing Zhao, The integration of weighted human gene association networks based on link prediction, BMC Systems Biology, 11, 1, (2017).
- Anuraj Mohan, R. Venkatesan and K.V. Pramod, A scalable method for link prediction in large real world networks, Journal of Parallel and Distributed Computing, 109, (89), (2017).
- Raf Guns and Lili Wang, Detecting the emergence of new scientific collaboration links in Africa: A comparison of expected and realized collaboration intensities, Journal of Informetrics, 11, 3, (892), (2017).
- Mahdi Jalili, Yasin Orouskhani, Milad Asgari, Nazanin Alipourfard and Matjaž Perc, Link prediction in multiplex online social networks, Royal Society Open Science, 4, 2, (160863), (2017).
- Sela Ferdman, Einat Minkov, Ron Bekkerman, David Gefen and Hussein Suleman, Quantifying the web browser ecosystem, PLOS ONE, 12, 6, (e0179281), (2017).
- Antonio Pecli, Maria Claudia Cavalcanti and Ronaldo Goldschmidt, Automatic feature selection for supervised learning in link prediction applications: a comparative study, Knowledge and Information Systems, (2017).
- Tobias Jordan, Oto Costa Pinho Alves, Philippe De Wilde, Fernando Buarque de Lima-Neto and Lidia Adriana Braunstein, Link-prediction to tackle the boundary specification problem in social network surveys, PLOS ONE, 12, 4, (e0176094), (2017). 2017 International Joint Conference on Neural Networks (IJCNN) Anchorage, AK, USA 2017 International Joint Conference on Neural Networks (IJCNN) IEEE , (2017). 978-1-5090-6182-2 Mohammad Amir Sharif and Vijay V. Raghavan Link prediction based hybrid recommendation system using user-page preference graphs , (2017). 1147 1154 7965981 , 10.1109/IJCNN.2017.7965981 http://ieeexplore.ieee.org/document/7965981/ Fatma Özcan, Georgia Koutrika and Sam Madden the 2016 International Conference SIGMOD '16 San Francisco, California, USA Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16 Management of Data ACM Press New York, New York, USA , (2016). 9781450335317 , 10.1145/2882903 20160615113224 http://dl.acm.org/citation.cfm?doid=2882903 Boyu Tian and Xiaokui Xiao SLING A Near-Optimal Index Structure for SimRank , (2016). 1859 1874 , 10.1145/2882903.2915243 20160615113229 http://dl.acm.org/citation.cfm?doid=2882903.2915243
- Katharina A. Zweig, Random Graphs as Null Models, Network Analysis Literacy, 10.1007/978-3-7091-0741-6_7, (183-214), (2016).
- Mucheol Kim and Sangyong Han, Cognitive social network analysis for supporting the reliable decision-making process, The Journal of Supercomputing, (2016). 2016 IEEE International Conference on Healthcare Informatics (ICHI) Chicago, IL, USA 2016 IEEE International Conference on Healthcare Informatics (ICHI) IEEE , (2016). 978-1-5090-6117-4 Haodong Yang and Christopher C. Yang Discovering Drug-Drug Interactions and Associated Adverse Drug Reactions with Triad Prediction in Heterogeneous Healthcare Networks , (2016). 244 254 7776350 , 10.1109/ICHI.2016.34 http://ieeexplore.ieee.org/document/7776350/
- Yang Song, Hongzhi Wang, Jianzhong Li and Hong Gao, MapReduce for Big Data Analysis: Benefits, Limitations and Extensions, Social Computing, 10.1007/978-981-10-2053-7_40, (453-457), (2016). 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) San Francisco, CA, USA 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) IEEE , (2016). 978-1-5090-2846-7 Anh Dang, Michael Smit, Abidalrahman Moh'd, Rosane Minghim and Evangelos Milios Toward understanding how users respond to rumours in social media , (2016). 777 784 7752326 , 10.1109/ASONAM.2016.7752326 http://ieeexplore.ieee.org/document/7752326/
- Ke-ke Shang, Wei-sheng Yan and Michael Small, Evolving networks—Using past structure to predict the future, Physica A: Statistical Mechanics and its Applications, 455, (120), (2016).
- Jiliang Tang, Yi Chang, Charu Aggarwal and Huan Liu, A Survey of Signed Network Mining in Social Media, ACM Computing Surveys, 49, 3, (1), (2016). 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Chicago, IL, USA 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) IEEE , (2016). 978-1-5090-3682-0 Peter M. Kogge Jaccard Coefficients as a Potential Graph Benchmark , (2016). 921 928 7529958 , 10.1109/IPDPSW.2016.208 http://ieeexplore.ieee.org/document/7529958/
- Can Lu, Jeffrey Xu Yu, Rong-Hua Li and Hao Wei, Exploring Hierarchies in Online Social Networks, IEEE Transactions on Knowledge and Data Engineering, 28, 8, (2086), (2016). 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) San Francisco, CA, USA 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) IEEE , (2016). 978-1-5090-2846-7 Ashwin Bahulkar, Boleslaw K. Szymanski, Omar Lizardo, Yuxiao Dong, Yang Yang and Nitesh V. Chawla Analysis of link formation, persistence and dissolution in NetSense data , (2016). 1197 1204 7752391 , 10.1109/ASONAM.2016.7752391 http://ieeexplore.ieee.org/document/7752391/
- Yang Liu, Xuan Chen, Sujian Li and Liang Wang, A User Adaptive Model for Followee Recommendation on Twitter, Natural Language Understanding and Intelligent Applications, 10.1007/978-3-319-50496-4_35, (425-436), (2016).
- Christian Brugger, André Lucas Chinazzo, Alexandre Flores John, Christian De Schryver, Norbert Wehn, Wolfgang Schlauch and Katharina Anna Zweig, Increasing sampling efficiency for the fixed degree sequence model with phase transitions, Social Network Analysis and Mining, 6, 1, (2016).
- Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly and Soumen Chakrabarti, Discriminative Link Prediction using Local, Community, and Global Signals, IEEE Transactions on Knowledge and Data Engineering, 28, 8, (2057), (2016). Unknown the 7th International Conference ICCCNT '16 Dallas, TX, USA Proceedings of the 7th International Conference on Computing Communication and Networking Technologies - ICCCNT '16 Computing Communication and Networking Technologies ACM Press New York, New York, USA , (2016). 9781450341790 , 10.1145/2967878 20160912091657 http://dl.acm.org/citation.cfm?doid=2967878 Pushkar Sharma, Usha Kiran Singh, T. Virajita Sharma and Debasis Das Algorithm for Prediction of Links using Sentiment Analysis in Social Networks , (2016). 1 6 , 10.1145/2967878.2967911 20160912091658 http://dl.acm.org/citation.cfm?doid=2967878.2967911
- Ilkka Kivimäki, Bertrand Lebichot, Jari Saramäki and Marco Saerens, Two betweenness centrality measures based on Randomized Shortest Paths, Scientific Reports, 6, 1, (2016).
- Nataliia Pobiedina and Ryutaro Ichise, Citation count prediction as a link prediction problem, Applied Intelligence, 44, 2, (252), (2016). Snehasis Mukhopadhyay, Yunyao Li, Parikshit Sondhi, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou and Yi Chang the 25th ACM International CIKM '16 Indianapolis, Indiana, USA Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2016). 9781450340731 , 10.1145/2983323 20161109032246 http://dl.acm.org/citation.cfm?doid=2983323 Jiangfeng Zeng, Ke Zhou, Xiao Ma, Fuhao Zou and Hua Wang Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks , (2016). 1905 1908 , 10.1145/2983323.2983870 20161109032255 http://dl.acm.org/citation.cfm?doid=2983323.2983870
- Chen Yunfang, Wang Tongli and Zhang Wei, Social Link Prediction Based on the Users’ Information Transfer, Web Technologies and Applications, 10.1007/978-3-319-45835-9_6, (64-76), (2016).
- Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan and Zhibin Zhang, Causality reasoning about network events for detecting stealthy malware activities, Computers & Security, 58, (180), (2016).
- Qing Guan, Haizhong An, Xiangyun Gao, Shupei Huang and Huajiao Li, Estimating potential trade links in the international crude oil trade: A link prediction approach, Energy, 102, (406), (2016). 2016 IEEE 16th International Conference on Data Mining (ICDM) Barcelona, Spain 2016 IEEE 16th International Conference on Data Mining (ICDM) IEEE , (2016). 978-1-5090-5473-2 Jose Cadena, Anil Kumar Vullikanti and Charu C. Aggarwal On Dense Subgraphs in Signed Network Streams , (2016). 51 60 7837829 , 10.1109/ICDM.2016.0016 http://ieeexplore.ieee.org/document/7837829/
- Alireza Hajibagheri, Gita Sukthankar and Kiran Lakkaraju, A Holistic Approach for Link Prediction in Multiplex Networks, Social Informatics, 10.1007/978-3-319-47874-6_5, (55-70), (2016). Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh and Rómer Rosales Dynamics of Large Multi-View Social Networks Synergy, Cannibalization and Cross-View Interplay , (2016). 1855 1864 , 10.1145/2939672.2939814 20160808022752 http://dl.acm.org/citation.cfm?doid=2939672.2939814 Jacqueline Bourdeau, Jim A. Hendler, Roger Nkambou Nkambou, Ian Horrocks and Ben Y. Zhao the 25th International Conference Companion WWW '16 Companion Montréal, Québec, Canada Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion World Wide Web ACM Press New York, New York, USA , (2016). 9781450341448 , 10.1145/2872518 20170123033200 http://dl.acm.org/citation.cfm?doid=2872518 Lukas Eberhard and Christoph Trattner Recommending Sellers to Buyers in Virtual Marketplaces Leveraging Social Information , (2016). 559 564 , 10.1145/2872518.2890086 20170123033219 http://dl.acm.org/citation.cfm?doid=2872518.2890086 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) Atlanta, GA, USA 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) IEEE , (2016). 978-1-5090-3936-4 Abdallah Lakhdari, Aicha Chorana, Hadda Cherroun and Abdelmounaam Rezgui A Link Strength Based Label Propagation Algorithm for Community Detection , (2016). 362 369 7723715 , 10.1109/BDCloud-SocialCom-SustainCom.2016.61 http://ieeexplore.ieee.org/document/7723715/
- Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang and Ee-Peng Lim, When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs, Web Technologies and Applications, 10.1007/978-3-319-45814-4_16, (196-207), (2016).
- Chuang Ma, Tao Zhou and Hai-Feng Zhang, Playing the role of weak clique property in link prediction: A friend recommendation model, Scientific Reports, 6, 1, (2016).
- Giuliano Andrea Pagani and Marco Aiello, From the grid to the smart grid, topologically, Physica A: Statistical Mechanics and its Applications, 449, (160), (2016).
- Rudolf P. Rohr, Russell E. Naisbit, Christian Mazza and Louis-Félix Bersier, Matching–centrality decomposition and the forecasting of new links in networks , Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2015.2702, 283, 1824, (20152702), (2016).
- Corey Pennycuff and Tim Weninger, Striations in PageRank-ordered matrices, Social Network Analysis and Mining, 6, 1, (2016).
- Shaoying Song, Zhaonian Zou and Kang Liu, Triangle-Based Representative Possible Worlds of Uncertain Graphs, Database Systems for Advanced Applications, 10.1007/978-3-319-32049-6_18, (283-298), (2016).
- Muhammad Sadiq Khan, Ainuddin Wahid Abdul Wahab, Tutut Herawan, Ghulam Mujtaba, Sani Danjuma and Mohammed Ali Al-Garadi, Virtual Community Detection Through the Association between Prime Nodes in Online Social Networks and Its Application to Ranking Algorithms, IEEE Access, 4, (9614), (2016). Phillipa Gill, John Heidemann, John W. Byers and Ramesh Govindan the 2016 ACM IMC '16 Santa Monica, California, USA Proceedings of the 2016 ACM on Internet Measurement Conference - IMC '16 Internet Measurement Conference ACM Press New York, New York, USA , (2016). 9781450345262 , 10.1145/2987443 20161110083726 http://dl.acm.org/citation.cfm?doid=2987443 Qingyun Liu, Shiliang Tang, Xinyi Zhang, Xiaohan Zhao, Ben Y. Zhao and Haitao Zheng Network Growth and Link Prediction Through an Empirical Lens , (2016). 1 15 , 10.1145/2987443.2987452 20161110083727 http://dl.acm.org/citation.cfm?doid=2987443.2987452
- Yunchuan Sun, Cheng Lu, Rongfang Bie and Junsheng Zhang, Semantic relation computing theory and its application, Journal of Network and Computer Applications, 59, (219), (2016).
- Desislava Hristova, Anastasios Noulas, Chloë Brown, Mirco Musolesi and Cecilia Mascolo, A multilayer approach to multiplexity and link prediction in online geo-social networks, EPJ Data Science, 5, 1, (2016).
- Jinseok Kim and Jana Diesner, Distortive effects of initial‐based name disambiguation on measurements of large‐scale coauthorship networks, Journal of the Association for Information Science and Technology, 67, 6, (1446-1461), (2015).
- Michał Zabielski, Rafał Kasprzyk, Zbigniew Tarapata, Krzysztof Szkółka, N. Mastorakis, V. Mladenov and A. Bulucea, Methods of Profile Cloning Detection in Online Social Networks, MATEC Web of Conferences, 76, (04013), (2016).
- César A. Hidalgo, Disconnected, fragmented, or united? a trans-disciplinary review of network science, Applied Network Science, 1, 1, (2016). 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD) Nanchang, China 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD) IEEE , (2016). 978-1-5090-1915-1 Victor Strode, Fernanda Campos, Ciystiam K. Pereira, Geraldo Zimbrao and Jano M. Souza Information Extraction to improve Link Prediction in scientific social networks , (2016). 515 520 7566043 , 10.1109/CSCWD.2016.7566043 http://ieeexplore.ieee.org/document/7566043/
- Alireza Rezvanian and Mohammad Reza Meybodi, Sampling algorithms for weighted networks, Social Network Analysis and Mining, 6, 1, (2016).
- İsmail Güneş, Şule Gündüz-Öğüdücü and Zehra Çataltepe, Link prediction using time series of neighborhood-based node similarity scores, Data Mining and Knowledge Discovery, 30, 1, (147), (2016).
- Giulia Berlusconi, Francesco Calderoni, Nicola Parolini, Marco Verani, Carlo Piccardi and Daniele Marinazzo, Link Prediction in Criminal Networks: A Tool for Criminal Intelligence Analysis, PLOS ONE, 11, 4, (e0154244), (2016).
- Jingchao Ni, Mehmet Koyuturk, Hanghang Tong, Jonathan Haines, Rong Xu and Xiang Zhang, Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model, BMC Bioinformatics, 17, 1, (2016).
- Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Xue Li and Sen Wang, Multi-label classification via learning a unified object-label graph with sparse representation, World Wide Web, 19, 6, (1125), (2016).
- Ivo D. Dinov, Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data, GigaScience, 10.1186/s13742-016-0117-6, 5, 1, (2016). Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis and Xiang Li Meta Structure Computing Relevance in Large Heterogeneous Information Networks , (2016). 1595 1604 , 10.1145/2939672.2939815 20160808022751 http://dl.acm.org/citation.cfm?doid=2939672.2939815 Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang and Zhi-Hua Zhou User Identity Linkage by Latent User Space Modelling , (2016). 1775 1784 , 10.1145/2939672.2939849 20160808022751 http://dl.acm.org/citation.cfm?doid=2939672.2939849 2016 Sixth International Conference on Information Science and Technology (ICIST) Dalian, China 2016 Sixth International Conference on Information Science and Technology (ICIST) IEEE , (2016). 978-1-5090-1224-4 Chenxi Shao and Yang Xu Data exchange similarity based on flow field for link prediction problem , (2016). 84 89 7483390 , 10.1109/ICIST.2016.7483390 http://ieeexplore.ieee.org/document/7483390/ 2016 IEEE 32nd International Conference on Data Engineering (ICDE) Helsinki, Finland 2016 IEEE 32nd International Conference on Data Engineering (ICDE) IEEE , (2016). 978-1-5090-2020-1 Lizi Liao, Qirong Ho, Jing Jiang and Ee-Peng Lim SLR: A scalable latent role model for attribute completion and tie prediction in social networks , (2016). 1062 1073 7498313 , 10.1109/ICDE.2016.7498313 http://ieeexplore.ieee.org/document/7498313/
- Travis Martin, Brian Ball and M. E. J. Newman, Structural inference for uncertain networks, Physical Review E, 93, 1, (2016).
- Cangfeng Ding and Kan Li, Estimating multilateral trade behaviors on the world trade web with limited information, Neurocomputing, 210, (66), (2016).
- Sabrine Mallek, Imen Boukhris, Zied Elouedi and Eric Lefevre, Evidential Missing Link Prediction in Uncertain Social Networks, Information Processing and Management of Uncertainty in Knowledge-Based Systems, 10.1007/978-3-319-40596-4_24, (274-285), (2016).
- Katharina A. Zweig, Literacy: Data Quality, Entities, and Nodes, Network Analysis Literacy, 10.1007/978-3-7091-0741-6_10, (279-311), (2016).
- Ignacio Traverso-Ribón, Guillermo Palma, Alejandro Flores and Maria-Esther Vidal, Considering Semantics on the Discovery of Relations in Knowledge Graphs, Knowledge Engineering and Knowledge Management, 10.1007/978-3-319-49004-5_43, (666-680), (2016).
- Sabrine Mallek, Imen Boukhris, Zied Elouedi and Eric Lefevre, An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks, Integrated Uncertainty in Knowledge Modelling and Decision Making, 10.1007/978-3-319-49046-5_24, (280-292), (2016). 2016 IEEE 16th International Conference on Data Mining (ICDM) Barcelona, Spain 2016 IEEE 16th International Conference on Data Mining (ICDM) IEEE , (2016). 978-1-5090-5473-2 Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick and Jiawei Han Large-Scale Embedding Learning in Heterogeneous Event Data , (2016). 907 912 7837924 , 10.1109/ICDM.2016.0111 http://ieeexplore.ieee.org/document/7837924/ Tova Milo and Wang-Chiew Tan the 35th ACM SIGMOD-SIGACT-SIGAI Symposium PODS '16 San Francisco, California, USA Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems - PODS '16 Principles of Database Systems ACM Press New York, New York, USA , (2016). 9781450341912 , 10.1145/2902251 20160616024325 http://dl.acm.org/citation.cfm?doid=2902251 Sara Cohen Data Management for Social Networking , (2016). 165 177 , 10.1145/2902251.2902306 20160616024327 http://dl.acm.org/citation.cfm?doid=2902251.2902306
- Altug Akay, Andrei Dragomir and Bjorn -Erik Erlandsson, Assessing Antidepressants Using Intelligent Data Monitoring and Mining of Online Fora, IEEE Journal of Biomedical and Health Informatics, 20, 4, (977), (2016).
- Md. Saddam Hossain Mukta, Mohammed Eunus Ali and Jalal Mahmud, Identifying and validating personality traits-based homophilies for an egocentric network, Social Network Analysis and Mining, 6, 1, (2016).
- Ke-Jia Chen, Yang Chen, Yun Li and Jingyu Han, A supervised link prediction method for dynamic networks, Journal of Intelligent & Fuzzy Systems, 31, 1, (291), (2016). Paul N. Bennett, Vanja Josifovski, Jennifer Neville and Filip Radlinski the Ninth ACM International Conference WSDM '16 San Francisco, California, USA Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM '16 Web Search and Data Mining ACM Press New York, New York, USA , (2016). 9781450337168 , 10.1145/2835776 20160204112154 http://dl.acm.org/citation.cfm?doid=2835776 Zhaoming Wu, Charu C. Aggarwal and Jimeng Sun The Troll-Trust Model for Ranking in Signed Networks , (2016). 447 456 , 10.1145/2835776.2835816 20160204112156 http://dl.acm.org/citation.cfm?doid=2835776.2835816
- Nicholas J. Higham and Samuel D. Relton, Estimating the Largest Elements of a Matrix, SIAM Journal on Scientific Computing, 38, 5, (C584), (2016). Paul N. Bennett, Vanja Josifovski, Jennifer Neville and Filip Radlinski the Ninth ACM International Conference WSDM '16 San Francisco, California, USA Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM '16 Web Search and Data Mining ACM Press New York, New York, USA , (2016). 9781450337168 , 10.1145/2835776 20160204112154 http://dl.acm.org/citation.cfm?doid=2835776 Nikos Parotsidis, Evaggelia Pitoura and Panayiotis Tsaparas Centrality-Aware Link Recommendations , (2016). 503 512 , 10.1145/2835776.2835818 20160204112156 http://dl.acm.org/citation.cfm?doid=2835776.2835818
- Berkant Savas and Inderjit S. Dhillon, Clustered Matrix Approximation, SIAM Journal on Matrix Analysis and Applications, 37, 4, (1531), (2016). 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) Vietri sul Mare 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) IEEE , (2016). 978-1-5090-0746-2 Kristoffer J. Albers, Morten Morup and Mikkel N. Schmidt The influence of hyper-parameters in the infinite relational model , (2016). 1 6 7738908 , 10.1109/MLSP.2016.7738908 http://ieeexplore.ieee.org/document/7738908/
- Qing Guan, Haizhong An, Xiaoqing Hao and Xiaoliang Jia, The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis, Sustainability, 8, 4, (313), (2016).
- Boyao Zhu, Yongxiang Xia and Xue-Jun Zhang, Weight prediction in complex networks based on neighbor set, Scientific Reports, 6, 1, (2016).
- Víctor Martínez, Fernando Berzal and Juan-Carlos Cubero, A Survey of Link Prediction in Complex Networks, ACM Computing Surveys, 49, 4, (1), (2016). Snehasis Mukhopadhyay, Yunyao Li, Parikshit Sondhi, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou and Yi Chang the 25th ACM International CIKM '16 Indianapolis, Indiana, USA Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2016). 9781450340731 , 10.1145/2983323 20161109032246 http://dl.acm.org/citation.cfm?doid=2983323 Daichi Imamori and Keishi Tajima Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early Adopters , (2016). 639 648 , 10.1145/2983323.2983859 20161109032251 http://dl.acm.org/citation.cfm?doid=2983323.2983859
- Zuxi Wang, Yao Wu, Qingguang Li, Fengdong Jin and Wei Xiong, Link prediction based on hyperbolic mapping with community structure for complex networks, Physica A: Statistical Mechanics and its Applications, 450, (609), (2016).
- Mahmudur Rahman and Mohammad Al Hasan, Link Prediction in Dynamic Networks Using Graphlet, Machine Learning and Knowledge Discovery in Databases, 10.1007/978-3-319-46128-1_25, (394-409), (2016). Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS '16, (2016).Upasana Sharma and Bhawna Minocha110.1145/2905055.2905149
- Jinseok Kim, Liang Tao, Seok-Hyoung Lee and Jana Diesner, Evolution and structure of scientific co-publishing network in Korea between 1948–2011, Scientometrics, 107, 1, (27), (2016).
- Lin Yao, Luning Wang, Lv Pan and Kai Yao, Link Prediction Based on Common-Neighbors for Dynamic Social Network, Procedia Computer Science, 83, (82), (2016). 2016 International Conference on Applied System Innovation (ICASI), (2016).Ming-Hsiu Tsai and Sian-Ren Huang110.1109/ICASI.2016.7539939
- Dong Li, Yongchao Zhang, Zhiming Xu, Dianhui Chu and Sheng Li, Exploiting Information Diffusion Feature for Link Prediction in Sina Weibo, Scientific Reports, 6, 1, (2016).
- Jin-Hu Liu, Yu-Xiao Zhu and Tao Zhou, Improving personalized link prediction by hybrid diffusion, Physica A: Statistical Mechanics and its Applications, 447, (199), (2016).
- Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aqaee and Noshir Contractor, Toward a better scientific collaboration success prediction model through the feature space expansion, Scientometrics, 10.1007/s11192-016-1999-x, 108, 2, (777-801), (2016). 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) San Francisco, CA, USA 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) IEEE , (2016). 978-1-5090-2846-7 Ertan Butun, Mehmet Kaya and Reda Alhajj A new topological metric for link prediction in directed, weighted and temporal networks , (2016). 954 959 7752355 , 10.1109/ASONAM.2016.7752355 http://ieeexplore.ieee.org/document/7752355/ 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS) Sapporo, Japan 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS) IEEE , (2016). 978-1-5090-2678-4 Muhammad Ilias Amin and Kazuyuki Murase Link Prediction in Scientists Collaboration with Author Name and Affiliation , (2016). 233 238 7801645 , 10.1109/SCIS-ISIS.2016.0058 http://ieeexplore.ieee.org/document/7801645/ 2016 49th Hawaii International Conference on System Sciences (HICSS) Koloa, HI, USA 2016 49th Hawaii International Conference on System Sciences (HICSS) IEEE , (2016). 978-0-7695-5670-3 Gene Moo Lee, Liangfei Qiu and Andrew B. Whinston Strategic Network Formation in a Location-Based Social Network: A Topic Modeling Approach , (2016). 5249 5258 7427836 , 10.1109/HICSS.2016.649 http://ieeexplore.ieee.org/document/7427836/
- Giulio Rossetti, Riccardo Guidotti, Ioanna Miliou, Dino Pedreschi and Fosca Giannotti, A supervised approach for intra-/inter-community interaction prediction in dynamic social networks, Social Network Analysis and Mining, 6, 1, (2016). 2016 IEEE Trustcom/BigDataSE/ISPA Tianjin, China 2016 IEEE Trustcom/BigDataSE/ISPA IEEE , (2016). 978-1-5090-3205-1 Jian Shu, Weijie Lin, Linlan Liu and Xuyan Luo Topology Prediction Mechanism for Pocket Switched Network Based on Deep Belief Network , (2016). 1811 1817 7847161 , 10.1109/TrustCom.2016.0278 http://ieeexplore.ieee.org/document/7847161/
- Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos and Christos Faloutsos, Eigen-Optimization on Large Graphs by Edge Manipulation, ACM Transactions on Knowledge Discovery from Data, 10, 4, (1), (2016).
- Darko Hric, Tiago P. Peixoto and Santo Fortunato, Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations, Physical Review X, 6, 3, (2016).
- Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri and Mohsen Kahani, Inferring Implicit Topical Interests on Twitter, Advances in Information Retrieval, 10.1007/978-3-319-30671-1_35, (479-491), (2016).
- Mu-Yao Fang and Bi-Ru Dai, Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users, Big Data Analytics and Knowledge Discovery, 10.1007/978-3-319-43946-4_12, (179-192), (2016).
- Behnaz Moradabadi and Mohammad Reza Meybodi, Link prediction based on temporal similarity metrics using continuous action set learning automata, Physica A: Statistical Mechanics and its Applications, 460, (361), (2016). 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) Toulouse, France 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) IEEE , (2016). 978-1-5090-2771-2 Yasmine Chaabani and Jalel Akaichi Bees Colonies for Meaningfull Communities Detection in Social Medias Network , (2016). 1052 1057 7816960 , 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0164 http://ieeexplore.ieee.org/document/7816960/ Paul N. Bennett, Vanja Josifovski, Jennifer Neville and Filip Radlinski the Ninth ACM International Conference WSDM '16 San Francisco, California, USA Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM '16 Web Search and Data Mining ACM Press New York, New York, USA , (2016). 9781450337168 , 10.1145/2835776 20160204112154 http://dl.acm.org/citation.cfm?doid=2835776 Liang Duan, Charu Aggarwal, Shuai Ma, Renjun Hu and Jinpeng Huai Scaling up Link Prediction with Ensembles , (2016). 367 376 , 10.1145/2835776.2835815 20160204112156 http://dl.acm.org/citation.cfm?doid=2835776.2835815
- Boyao Zhu, Yongxiang Xia and Irene Sendiña-Nadal, Link Prediction in Weighted Networks: A Weighted Mutual Information Model, PLOS ONE, 11, 2, (e0148265), (2016).
- Zhihao Wu, Youfang Lin, Huaiyu Wan and Waleed Jamil, Predicting top-Lmissing links with node and link clustering information in large-scale networks, Journal of Statistical Mechanics: Theory and Experiment, 2016, 8, (083202), (2016). Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Sharad Nandanwar and M. N. Murty Structural Neighborhood Based Classification of Nodes in a Network , (2016). 1085 1094 , 10.1145/2939672.2939782 20160808022749 http://dl.acm.org/citation.cfm?doid=2939672.2939782
- Di Jin, Mengdi Wang and Yu-Ru Lin, TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures, Social, Cultural, and Behavioral Modeling, 10.1007/978-3-319-39931-7_17, (174-185), (2016).
- Baoxu Shi and Tim Weninger, Discriminative predicate path mining for fact checking in knowledge graphs, Knowledge-Based Systems, 104, (123), (2016).
- Lin Zhu, Wei-Li Guo, Canyi lu and De-shuang Huang, Collaborative Completion of Transcription Factor Binding Profiles via Local Sensitive Unified Embedding, IEEE Transactions on NanoBioscience, (1), (2016).
- Nazim Choudhury and Shahadat Uddin, Time-aware link prediction to explore network effects on temporal knowledge evolution, Scientometrics, 10.1007/s11192-016-2003-5, 108, 2, (745-776), (2016).
- Tianyi Wang, Yang Chen, Yi Wang, Bolun Wang, Gang Wang, Xing Li, Haitao Zheng and Ben Y. Zhao, The power of comments: fostering social interactions in microblog networks, Frontiers of Computer Science, 10, 5, (889), (2016).
- Sminu Izudheen and Sheena Mathew, Identifying Negative Interactions in Protein-Protein Interaction Network Using Weak Edge-edge Domination Set, Procedia Technology, 24, (1423), (2016).
- Manisha Pujari and Rushed Kanawati, Link Prediction in Complex Networks, Advanced Methods for Complex Network Analysis, 10.4018/978-1-4666-9964-9.ch003, (58-97)
- Mengdi Wang and Yu-Ru Lin, Link Prediction via Multi-hashing Framework, Social, Cultural, and Behavioral Modeling, 10.1007/978-3-319-39931-7_16, (162-173), (2016). 2016 24th Telecommunications Forum (TELFOR) Belgrade, Serbia 2016 24th Telecommunications Forum (TELFOR) IEEE , (2016). 978-1-5090-4086-5 Igor Trpevski and Ljupco Kocarev Greedy reduction of navigation time in random search processes , (2016). 1 4 7818724 , 10.1109/TELFOR.2016.7818724 http://ieeexplore.ieee.org/document/7818724/
- Andreas Spitz, Anna Gimmler, Thorsten Stoeck, Katharina Anna Zweig, Emőke-Ágnes Horvát and Irene Sendiña-Nadal, Assessing Low-Intensity Relationships in Complex Networks, PLOS ONE, 11, 4, (e0152536), (2016).
- Guillermo Jimenez-Diaz, Pedro Pablo Gómez Martín, Marco Antonio Gómez Martín and Antonio A. Sánchez-Ruiz, Similarity Metrics from Social Network Analysis for Content Recommender Systems, Case-Based Reasoning Research and Development, 10.1007/978-3-319-47096-2_14, (203-217), (2016).
- Liangliang Zhang, Longqi Yang, Guyu Hu, Zhisong Pan and Zhen Li, Link Prediction via Sparse Gaussian Graphical Model, Mathematical Problems in Engineering, 2016, (1), (2016).
- Ogheneovo Dibie and Tamara Sumner, Using weak ties to understand the resource usage and sharing patterns of a professional learning community, Social Network Analysis and Mining, 6, 1, (2016). 2016 23rd International Conference on Pattern Recognition (ICPR) Cancun 2016 23rd International Conference on Pattern Recognition (ICPR) IEEE , (2016). 978-1-5090-4847-2 Jorge Valverde-Rebaza, Mathieu Roche, Pascal Poncelet and Alneu de Andrade Lopes Exploiting social and mobility patterns for friendship prediction in location-based social networks , (2016). 2526 2531 7900016 , 10.1109/ICPR.2016.7900016 http://ieeexplore.ieee.org/document/7900016/
- Luke K. McDowell and David W. Aha, Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks, ACM Transactions on Knowledge Discovery from Data, 11, 1, (1), (2016).
- Lionel Tabourier, Anne-Sophie Libert and Renaud Lambiotte, Predicting links in ego-networks using temporal information, EPJ Data Science, 5, 1, (2016).
- Akmal Artikov, Aleksandr Dorodnykh, Yana Kashinskaya and Egor Samosvat, Factorization threshold models for scale-free networks generation, Computational Social Networks, 3, 1, (2016).
- Cherry Ahmed, Abeer ElKorany and Reem Bahgat, A supervised learning approach to link prediction in Twitter, Social Network Analysis and Mining, 6, 1, (2016). Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Mustafa Coskun, Ananth Grama and Mehmet Koyuturk Efficient Processing of Network Proximity Queries via Chebyshev Acceleration , (2016). 1515 1524 , 10.1145/2939672.2939828 20160808022750 http://dl.acm.org/citation.cfm?doid=2939672.2939828
- Azam Andalib and Seyed Morteza Babamir, A class-based link prediction using Distance Dependent Chinese Restaurant Process, Physica A: Statistical Mechanics and its Applications, 456, (204), (2016). 2016 IEEE High Performance Extreme Computing Conference (HPEC) Waltham, MA, USA 2016 IEEE High Performance Extreme Computing Conference (HPEC) IEEE , (2016). 978-1-5090-3525-0 Dylan Hutchison, Jeremy Kepner, Vijay Gadepally and Bill Howe From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database , (2016). 1 9 7761577 , 10.1109/HPEC.2016.7761577 http://ieeexplore.ieee.org/document/7761577/
- Arnau Prat-Pérez, David Dominguez-Sal, Josep-M. Brunat and Josep-Lluis Larriba-Pey, Put Three and Three Together, ACM Transactions on Knowledge Discovery from Data, 10, 3, (1), (2016).
- Wei Cui, Cunlai Pu, Zhongqi Xu, Shimin Cai, Jian Yang and Andrew Michaelson, Bounded link prediction in very large networks, Physica A: Statistical Mechanics and its Applications, 457, (202), (2016).
- Hong-Tao Yu, Shou-Hui Wang and Qing-Qing Ma, Link prediction algorithm based on the Choquet fuzzy integral, Intelligent Data Analysis, 20, 4, (809), (2016).
- Huy Pham, Cyrus Shahabi and Yan Liu, Inferring Social Strength from Spatiotemporal Data, ACM Transactions on Database Systems, 41, 1, (1), (2016).
- Ming Yang, William H. Hsu and Surya Teja Kallumadi, Predictive Analytics of Social Networks, Business Intelligence, 10.4018/978-1-4666-9562-7.ch056, (1080-1116), (2016). Anthony I. (Tony) Wasserman the 12th International Symposium OpenSym '16 Berlin, Germany Proceedings of the 12th International Symposium on Open Collaboration - OpenSym '16 Open Collaboration ACM Press New York, New York, USA , (2016). 9781450344517 , 10.1145/2957792 20161020111943 http://dl.acm.org/citation.cfm?doid=2957792 Daniel Lamprecht, Dimitar Dimitrov, Denis Helic and Markus Strohmaier Evaluating and Improving Navigability of Wikipedia A Comparative Study of Eight Language Editions , (2016). 1 10 , 10.1145/2957792.2957813 20161020111944 http://dl.acm.org/citation.cfm?doid=2957792.2957813
- Jie Liu, Baomin Xu, Xiang Xu and Tinglin Xin, A link prediction algorithm based on label propagation, Journal of Computational Science, 16, (43), (2016).
- Buket Kaya and Mustafa Poyraz, Unsupervised link prediction in evolving abnormal medical parameter networks, International Journal of Machine Learning and Cybernetics, 7, 1, (145), (2016).
- Suo-Yi Tan, Jun Wu, Linyuan Lü, Meng-Jun Li and Xin Lu, Efficient network disintegration under incomplete information: the comic effect of link prediction, Scientific Reports, 6, 1, (2016).
- Fredrik Erlandsson, Piotr Bródka, Anton Borg and Henric Johnson, Finding Influential Users in Social Media Using Association Rule Learning, Entropy, 18, 12, (164), (2016). 2016 IEEE 41st Conference on Local Computer Networks (LCN) Dubai 2016 IEEE 41st Conference on Local Computer Networks (LCN) IEEE , (2016). 978-1-5090-2054-6 Sima Das, Sajal K. Das and Susmita Ghosh Inferring Future Links in Large Scale Networks , (2016). 244 252 7796796 , 10.1109/LCN.2016.52 http://ieeexplore.ieee.org/document/7796796/ Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Bryan Perozzi, Michael Schueppert, Jack Saalweachter and Mayur Thakur When Recommendation Goes Wrong Anomalous Link Discovery in Recommendation Networks , (2016). 569 578 , 10.1145/2939672.2939734 20160808022746 http://dl.acm.org/citation.cfm?doid=2939672.2939734
- Waleed Reafee, Naomie Salim, Atif Khan and Ye Wu, The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems, PLOS ONE, 11, 5, (e0154848), (2016).
- Mario Karlovcec, Dunja Mladenic, Marko Grobelnik and Mitja Jermol, Conceptualization of science using collaboration and competences, The Electronic Library, 34, 1, (2), (2016). 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) Rajshahi, Bangladesh 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) IEEE , (2016). 978-1-5090-5785-6 Khandakar Tareq Alam, Syed Mohammod Minhaz Hossain and Mohammad Shamsul Arefin Developing a framework for analyzing social networks to identify human behaviours , (2016). 1 4 7879589 , 10.1109/ICECTE.2016.7879589 http://ieeexplore.ieee.org/document/7879589/
- Yoshiaki Okubo, Makoto Haraguchi and Etsuji Tomita, Enumerating Maximal Isolated Cliques Based on Vertex-Dependent Connection Lower Bound, Machine Learning and Data Mining in Pattern Recognition, 10.1007/978-3-319-41920-6_45, (569-583), (2016).
- Zhongqi Xu, Cunlai Pu and Jian Yang, Link prediction based on path entropy, Physica A: Statistical Mechanics and its Applications, 456, (294), (2016).
- Yinglong Zhang, Cuiping Li, Chengwang Xie and Hong Chen, Accuracy estimation of link-based similarity measures and its application, Frontiers of Computer Science, 10, 1, (113), (2016).
- Yi Zhang, Douglas K.R. Robinson, Alan L. Porter, Donghua Zhu, Guangquan Zhang and Jie Lu, Technology roadmapping for competitive technical intelligence, Technological Forecasting and Social Change, 110, (175), (2016).
- Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun and Evan Bolton, Predicting drug target interactions using meta-path-based semantic network analysis, BMC Bioinformatics, 17, 1, (2016).
- Gianni Costa and Riccardo Ortale, Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks, ACM Transactions on Internet Technology, 16, 3, (1), (2016). 2016 IEEE 32nd International Conference on Data Engineering (ICDE) Helsinki, Finland 2016 IEEE 32nd International Conference on Data Engineering (ICDE) IEEE , (2016). 978-1-5090-2020-1 Huy Pham and Cyrus Shahabi Spatial influence - measuring followship in the real world , (2016). 529 540 7498268 , 10.1109/ICDE.2016.7498268 http://ieeexplore.ieee.org/document/7498268/ 2016 IEEE International Congress on Big Data (BigData Congress) San Francisco, CA, USA 2016 IEEE International Congress on Big Data (BigData Congress) IEEE , (2016). 978-1-5090-2622-7 Sukhwan Jung, Tuan Manh Lai and Aviv Segev Analyzing Future Nodes in a Knowledge Network , (2016). 357 360 7584963 , 10.1109/BigDataCongress.2016.57 http://ieeexplore.ieee.org/document/7584963/
- Meina Song, Xuejun Zhao, Haihong E and Cong Zheng, Mu-En: Multi-path of Entity Recommendation Based on Path Similarity, Human Centered Computing, 10.1007/978-3-319-31854-7_31, (344-354), (2016). 2016 8th International Conference on Communication Systems and Networks (COMSNETS) Bangalore, India 2016 8th International Conference on Communication Systems and Networks (COMSNETS) IEEE , (2016). 978-1-4673-9622-6 Karthik Gopalakrishnan, Arun Pandey and Joydeep Chandra Social interaction in the Flickr social network , (2016). 1 6 7439975 , 10.1109/COMSNETS.2016.7439975 http://ieeexplore.ieee.org/document/7439975/
- Maximilian Nickel, Kevin Murphy, Volker Tresp and Evgeniy Gabrilovich, A Review of Relational Machine Learning for Knowledge Graphs, Proceedings of the IEEE, 104, 1, (11), (2016). 2016 9th International Symposium on Computational Intelligence and Design (ISCID) Hangzhou 2016 9th International Symposium on Computational Intelligence and Design (ISCID) IEEE , (2016). 978-1-5090-3558-8 Xiyang Liao, Qi Zhang, Shunyao Wu, Xinmin Li and Ruixue Wang Modeling and Correlation Analysis between Complex Networks , (2016). 277 280 7830842 , 10.1109/ISCID.2016.2073 http://ieeexplore.ieee.org/document/7830842/ Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Daixin Wang, Peng Cui and Wenwu Zhu Structural Deep Network Embedding , (2016). 1225 1234 , 10.1145/2939672.2939753 20160808022749 http://dl.acm.org/citation.cfm?doid=2939672.2939753 2016 IEEE International Conference on Big Data (Big Data) Washington DC,USA 2016 IEEE International Conference on Big Data (Big Data) IEEE , (2016). 978-1-4673-9005-7 uDaniel Xie, Jiejun Xu and Tsai-Ching Lu Automated classification of extremist Twitter accounts using content-based and network-based features , (2016). 2545 2549 7840895 , 10.1109/BigData.2016.7840895 http://ieeexplore.ieee.org/document/7840895/
- Xiang Zuo, Jeremy Blackburn, Nicolas Kourtellis, John Skvoretz and Adriana Iamnitchi, The power of indirect ties, Computer Communications, 73, (188), (2016). Snehasis Mukhopadhyay, Yunyao Li, Parikshit Sondhi, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou and Yi Chang the 25th ACM International CIKM '16 Indianapolis, Indiana, USA Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2016). 9781450340731 , 10.1145/2983323 20161109032246 http://dl.acm.org/citation.cfm?doid=2983323 Takanori Hayashi, Takuya Akiba and Ken-ichi Kawarabayashi Fully Dynamic Shortest-Path Distance Query Acceleration on Massive Networks , (2016). 1533 1542 , 10.1145/2983323.2983731 20161109032253 http://dl.acm.org/citation.cfm?doid=2983323.2983731 2016 IEEE 16th International Conference on Data Mining (ICDM) Barcelona, Spain 2016 IEEE 16th International Conference on Data Mining (ICDM) IEEE , (2016). 978-1-5090-5473-2 Jihwan Lee, Keehwan Park and Sunil Prabhakar Mining Statistically Significant Attribute Associations in Attributed Graphs , (2016). 991 996 7837938 , 10.1109/ICDM.2016.0125 http://ieeexplore.ieee.org/document/7837938/
- Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li and Jianguang Du, FriendBurst: Ranking people who get friends fast in a short time, Neurocomputing, 210, (116), (2016). 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) Atlanta, GA, USA 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) IEEE , (2016). 978-1-5090-3936-4 Ruthwik R. Junuthula, Kevin S. Xu and Vijay K. Devabhaktuni Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges , (2016). 377 384 7723717 , 10.1109/BDCloud-SocialCom-SustainCom.2016.63 http://ieeexplore.ieee.org/document/7723717/
- Chen Cheng, Junjie Chen, Xiaohua Cao and Hao Guo, Comparison of Local Information Indices Applied in Resting State Functional Brain Network Connectivity Prediction, Frontiers in Neuroscience, 10, (2016).
- Zhihao Wu, Youfang Lin, Jing Wang and Steve Gregory, Link prediction with node clustering coefficient, Physica A: Statistical Mechanics and its Applications, 452, (1), (2016). Balaji Krishnapuram, Mohak Shah, Alex Smola, Charu Aggarwal, Dou Shen and Rajeev Rastogi the 22nd ACM SIGKDD International Conference KDD '16 San Francisco, California, USA Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2016). 9781450342322 , 10.1145/2939672 20160808022742 http://dl.acm.org/citation.cfm?doid=2939672 Aditya Grover and Jure Leskovec node2vec Scalable Feature Learning for Networks , (2016). 855 864 , 10.1145/2939672.2939754 20160808022748 http://dl.acm.org/citation.cfm?doid=2939672.2939754
- Jinhong Jung, Kijung Shin, Lee Sael and U Kang, Random Walk with Restart on Large Graphs Using Block Elimination, ACM Transactions on Database Systems, 41, 2, (1), (2016).
- P.V. Bindu and P. Santhi Thilagam, Mining social networks for anomalies: Methods and challenges, Journal of Network and Computer Applications, 10.1016/j.jnca.2016.02.021, 68, (213-229), (2016).
- Mehwish Nasim, Raphael Charbey, Christophe Prieur and Ulrik Brandes, Investigating Link Inference in Partially Observable Networks: Friendship Ties and Interaction, IEEE Transactions on Computational Social Systems, 3, 3, (113), (2016).
- Jie Tang, Tiancheng Lou, Jon Kleinberg and Sen Wu, Transfer Learning to Infer Social Ties across Heterogeneous Networks, ACM Transactions on Information Systems, 34, 2, (1), (2016).
- Chien Chin Chen, Shun-Yuan Shih and Meng Lee, Who should you follow? Combining learning to rank with social influence for informative friend recommendation, Decision Support Systems, 90, (33), (2016). 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) Chengdu, China 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) IEEE , (2016). 978-1-5090-5880-8 Chuanting Zhang, Haixia Zhang, Dongfeng Yuan and Minggao Zhang Deep Learning Based Link Prediction with Social Pattern and External Attribute Knowledge in Bibliographic Networks , (2016). 815 821 7917198 , 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.170 http://ieeexplore.ieee.org/document/7917198/ 2016 2nd International Conference on Information Management (ICIM) London, United Kingdom 2016 2nd International Conference on Information Management (ICIM) IEEE , (2016). 978-1-5090-1470-5 978-1-5090-1471-2 Jia Jun and Hu Xiao-feng Relationships between network's structure features and link prediction algorithms , (2016). 64 72 7477535 , 10.1109/INFOMAN.2016.7477535 http://ieeexplore.ieee.org/document/7477535/
- Aastha Nigam and Nitesh V. Chawla, Link Prediction in a Semi-bipartite Network for Recommendation, Intelligent Information and Database Systems, 10.1007/978-3-662-49390-8_12, (127-135), (2016).
- Gene Moo Lee, Liangfei Qiu and Andrew B. Whinston, A Friend Like Me: Modeling Network Formation in a Location-Based Social Network, Journal of Management Information Systems, 33, 4, (1008), (2016). 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) Qazvin, Iran 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) IEEE , (2016). 978-1-4673-8704-0 Sama Jamalzehi and Mohammad Bagher Menhaj A new similarity measure based on item proximity and closeness for collaborative filtering recommendation , (2016). 445 450 7483204 , 10.1109/ICCIAutom.2016.7483204 http://ieeexplore.ieee.org/document/7483204/ 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) San Francisco, CA, USA 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) IEEE , (2016). 978-1-5090-2846-7 Alireza Hajibagheri, Gita Sukthankar and Kiran Lakkaraju A holistic approach for predicting links in coevolving multiplex networks , (2016). 1079 1086 7752375 , 10.1109/ASONAM.2016.7752375 http://ieeexplore.ieee.org/document/7752375/
- Wenxin Liang, Xiaosong He, Dongdong Tang and Xianchao Zhang, S-Rank: A Supervised Ranking Framework for Relationship Prediction in Heterogeneous Information Networks, Trends in Applied Knowledge-Based Systems and Data Science, 10.1007/978-3-319-42007-3_26, (305-319), (2016).
- Víctor Martínez, Fernando Berzal and Juan-Carlos Cubero, Adaptive degree penalization for link prediction, Journal of Computational Science, 13, (1), (2016). David Lo, Sven Apel and Sarfraz Khurshid the 31st IEEE/ACM International Conference ASE 2016 Singapore, Singapore Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering - ASE 2016 Automated Software Engineering ACM Press New York, New York, USA , (2016). 9781450338455 , 10.1145/2970276 20160826081113 http://dl.acm.org/citation.cfm?doid=2970276 Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen and Shanping Li Predicting semantically linkable knowledge in developer online forums via convolutional neural network , (2016). 51 62 , 10.1145/2970276.2970357 20160826081113 http://dl.acm.org/citation.cfm?doid=2970276.2970357
- Taisong Li, Jing Wang, Manshu Tu, Yan Zhang and Yonghong Yan, Enhancing Link Prediction Using Gradient Boosting Features, Intelligent Computing Theories and Application, 10.1007/978-3-319-42294-7_7, (81-92), (2016).
- Rana Forsati, Iman Barjasteh, Dennis Ross, Abdol-Hossein Esfahanian and Hayder Radha, Network completion by leveraging similarity of nodes, Social Network Analysis and Mining, 6, 1, (2016). 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI) San Jose, CA, USA 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI) IEEE , (2016). 978-1-5090-4459-7 Ricky Laishram, Kishan Mehrotra and Chilukuri K. Mohan Link Prediction in Social Networks with Edge Aging , (2016). 606 613 7814658 , 10.1109/ICTAI.2016.0098 http://ieeexplore.ieee.org/document/7814658/
- Zhiyuan Wang, Yun Zhou, Jie Tang and Jar-Der Luo, The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory, IEEE Transactions on Knowledge and Data Engineering, 28, 2, (537), (2016).
- Majdi Rawashdeh, Mohammed F. Alhamid, Jihad Mohamad Alja’am, Awny Alnusair and Abdulmotaleb El Saddik, Tag-based personalized recommendation in social media services, Multimedia Tools and Applications, 75, 21, (13299), (2016). 2016 IEEE International Conference on Web Services (ICWS) San Francisco, CA, USA 2016 IEEE International Conference on Web Services (ICWS) IEEE , (2016). 978-1-5090-2675-3 Yuqing Sun, Haoran Xu, Elisa Bertino and Demin Li User Preference Based Link Inference for Social Network , (2016). 188 195 7558001 , 10.1109/ICWS.2016.32 http://ieeexplore.ieee.org/document/7558001/
- Weiyu Zhang, Bin Wu and Yang Liu, Cluster-level trust prediction based on multi-modal social networks, Neurocomputing, 210, (206), (2016). Paul N. Bennett, Vanja Josifovski, Jennifer Neville and Filip Radlinski the Ninth ACM International Conference WSDM '16 San Francisco, California, USA Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM '16 Web Search and Data Mining ACM Press New York, New York, USA , (2016). 9781450337168 , 10.1145/2835776 20160204112154 http://dl.acm.org/citation.cfm?doid=2835776 Ashwin Paranjape, Robert West, Leila Zia and Jure Leskovec Improving Website Hyperlink Structure Using Server Logs , (2016). 615 624 , 10.1145/2835776.2835832 20160204112156 http://dl.acm.org/citation.cfm?doid=2835776.2835832 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) San Francisco, CA, USA 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) IEEE , (2016). 978-1-5090-2846-7 Kuntal Dey, Sahil Agrawal, Rahul Malviya and Saroj Kaushik Assessment of effectiveness of content models for approximating Twitter social connection structures , (2016). 1071 1078 7752374 , 10.1109/ASONAM.2016.7752374 http://ieeexplore.ieee.org/document/7752374/
- Yuxian Eugene Liang and Soe-Tsyr Daphne Yuan, Predicting investor funding behavior using crunchbase social network features, Internet Research, 26, 1, (74), (2016). 2016 IEEE 16th International Conference on Data Mining (ICDM) Barcelona, Spain 2016 IEEE 16th International Conference on Data Mining (ICDM) IEEE , (2016). 978-1-5090-5473-2 Basma Alharbi and Xiangliang Zhang Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties , (2016). 781 786 7837903 , 10.1109/ICDM.2016.0090 http://ieeexplore.ieee.org/document/7837903/ 2016 International Conference on Machine Learning and Cybernetics (ICMLC) Jeju Island, South Korea 2016 International Conference on Machine Learning and Cybernetics (ICMLC) IEEE , (2016). 978-1-5090-0390-7 Rong Zeng, Yu-Xin Ding and Xiao-Ling Xia Link prediction based on dynamic weighted social attribute network , (2016). 183 188 7860898 , 10.1109/ICMLC.2016.7860898 http://ieeexplore.ieee.org/document/7860898/
- Cheng-Jun Zhang and An Zeng, Prediction of missing links and reconstruction of complex networks, International Journal of Modern Physics C, 27, 10, (1650120), (2016).
- Chao Tong, Yu Lian, Jianwei Niu, Zhongyu Xie and Yang Zhang, A novel green algorithm for sampling complex networks, Journal of Network and Computer Applications, 59, (55), (2016). Jacqueline Bourdeau, Jim A. Hendler, Roger Nkambou Nkambou, Ian Horrocks and Ben Y. Zhao the 25th International Conference WWW '16 Montréal, Québec, Canada Proceedings of the 25th International Conference on World Wide Web - WWW '16 World Wide Web ACM Press New York, New York, USA , (2016). 9781450341431 , 10.1145/2872427 20170123033132 http://dl.acm.org/citation.cfm?doid=2872427 Jessica Su, Aneesh Sharma and Sharad Goel The Effect of Recommendations on Network Structure , (2016). 1157 1167 , 10.1145/2872427.2883040 20170123033155 http://dl.acm.org/citation.cfm?doid=2872427.2883040
- E. Shijia, Shengbin Jia, Yang Xiang and Zilian Ji, Knowledge Graph Embedding for Link Prediction and Triplet Classification, Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 10.1007/978-981-10-3168-7_23, (228-232), (2016).
- Liming Pan, Tao Zhou, Linyuan Lü and Chin-Kun Hu, Predicting missing links and identifying spurious links via likelihood analysis, Scientific Reports, 6, 1, (2016).
- Zhiqiang Wang, Jiye Liang, Ru Li and Yuhua Qian, An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information, IEEE Transactions on Knowledge and Data Engineering, 28, 11, (2857), (2016).
- Gianni Costa and Riccardo Ortale, Scalable Detection of Overlapping Communities and Role Assignments in Networks via Bayesian Probabilistic Generative Affiliation Modeling, On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 10.1007/978-3-319-48472-3_6, (99-117), (2016).
- Ryan A. Rossi and Rong Zhou, Parallel collective factorization for modeling large heterogeneous networks, Social Network Analysis and Mining, 6, 1, (2016).
- Ravneet Kaur and Sarbjeet Singh, A survey of data mining and social network analysis based anomaly detection techniques, Egyptian Informatics Journal, 17, 2, (199), (2016). Timos Sellis, Susan B. Davidson and Zack Ives the 2015 ACM SIGMOD International Conference SIGMOD '15 Melbourne, Victoria, Australia Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15 Management of Data ACM Press New York, New York, USA , (2015). 9781450327589 , 10.1145/2723372 20150601121643 http://dl.acm.org/citation.cfm?doid=2723372 Devora Berlowitz, Sara Cohen and Benny Kimelfeld Efficient Enumeration of Maximal k-Plexes , (2015). 431 444 , 10.1145/2723372.2746478 20150601121644 http://dl.acm.org/citation.cfm?doid=2723372.2746478
- Fenhua Li, Jing He, Guangyan Huang, Yanchun Zhang, Yong Shi and Rui Zhou, Node-coupling clustering approaches for link prediction, Knowledge-Based Systems, 89, (669), (2015).
- Alexandre Vidmer, An Zeng, Matúš Medo and Yi-Cheng Zhang, Prediction in complex systems: The case of the international trade network, Physica A: Statistical Mechanics and its Applications, 436, (188), (2015).
- Thomas Roelleke, Andreas Kaltenbrunner and Ricardo Baeza-Yates, Harmony Assumptions in Information Retrieval and Social Networks, The Computer Journal, 58, 11, (2982), (2015).
- Guan-Nan Wang, Hui Gao, Lian Chen, Dennis N. A. Mensah, Yan Fu and Zi-Ke Zhang, Predicting Positive and Negative Relationships in Large Social Networks, PLOS ONE, 10, 6, (e0129530), (2015).
- Yang Yang, Ryan N. Lichtenwalter and Nitesh V. Chawla, Evaluating link prediction methods, Knowledge and Information Systems, 45, 3, (751), (2015).
- Hong Huang, Jie Tang, Lu Liu, JarDer Luo and Xiaoming Fu, Triadic Closure Pattern Analysis and Prediction in Social Networks, IEEE Transactions on Knowledge and Data Engineering, 27, 12, (3374), (2015). IEEE INFOCOM 2015 - IEEE Conference on Computer Communications Kowloon, Hong Kong 2015 IEEE Conference on Computer Communications (INFOCOM) IEEE , (2015). 978-1-4799-8381-0 Tobias Friedrich and Anton Krohmer Cliques in hyperbolic random graphs , (2015). 1544 1552 7218533 , 10.1109/INFOCOM.2015.7218533 http://ieeexplore.ieee.org/document/7218533/
- Michaela Hoffman, Douglas Steinley and Michael J. Brusco, A note on using the adjusted Rand index for link prediction in networks, Social Networks, 42, (72), (2015).
- Stanisław Saganowski, Bogdan Gliwa, Piotr Bródka, Anna Zygmunt, Przemysław Kazienko and Jarosław Koźlak, Predicting Community Evolution in Social Networks, Entropy, 17, 12, (3053), (2015).
- Hongyang Zhao, Huan Zhou, Chengjue Yuan, Yinghua Huang and Jiming Chen, Social Discovery: Exploring the Correlation Among Three-Dimensional Social Relationships, IEEE Transactions on Computational Social Systems, 2, 3, (77), (2015).
- Xin Cheng, Duoqian Miao and Can Wang, A link-based approach to semantic relation analysis, Neurocomputing, 10.1016/j.neucom.2014.12.011, 154, (127-138), (2015).
- Liyang Tang, Zhiwei Ni, Hui Xiong and Hengshu Zhu, Locating targets through mention in Twitter, World Wide Web, 18, 4, (1019), (2015).
- Lili Miao, Qian-Ming Zhang, Da-Cheng Nie and Shi-Min Cai, Whether information network supplements friendship network, Physica A: Statistical Mechanics and its Applications, 419, (301), (2015).
- Turki Turki and Jason T. L. Wang, A New Approach to Link Prediction in Gene Regulatory Networks, Intelligent Data Engineering and Automated Learning – IDEAL 2015, 10.1007/978-3-319-24834-9_47, (404-415), (2016).
- Michał Ciesielczyk, Andrzej Szwabe and Mikołaj Morzy, On Efficient Link Recommendation in Social Networks Using Actor-Fact Matrices, Scientific Programming, 2015, (1), (2015).
- Xueqin Sui, Zhumin Chen and Jun Ma, Location Sensitive Friend Recommendation in Social Network, Web Technologies and Applications, 10.1007/978-3-319-25255-1_26, (316-327), (2015). Jian Pei, Fabrizio Silvestri and Jie Tang the 2015 IEEE/ACM International Conference ASONAM '15 Paris, France Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15 Advances in Social Networks Analysis and Mining 2015 ACM Press New York, New York, USA , (2015). 9781450338547 , 10.1145/2808797 20151113092133 http://dl.acm.org/citation.cfm?doid=2808797 Nima Dokoohaki, Filippia Zikou, Daniel Gillblad and Mihhail Matskin Predicting Swedish Elections with Twitter A Case for Stochastic Link Structure Analysis , (2015). 1269 1276 , 10.1145/2808797.2808915 20151113092134 http://dl.acm.org/citation.cfm?doid=2808797.2808915 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Zhangjiajie, China 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) IEEE , (2015). 978-1-4673-7682-2 Shaoliang Shi, Yunpeng Li, Yimin Wen and Wu Xie Adding the sentiment attribute of nodes to improve link prediction in social network , (2015). 1263 1269 7382124 , 10.1109/FSKD.2015.7382124 http://ieeexplore.ieee.org/document/7382124/
- Won Sang Lee, Eun Jin Han and So Young Sohn, Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents, Technological Forecasting and Social Change, 10.1016/j.techfore.2015.07.022, 100, (317-329), (2015). 2015 IEEE 31st International Conference on Data Engineering (ICDE) Seoul, South Korea 2015 IEEE 31st International Conference on Data Engineering IEEE , (2015). 978-1-4799-7964-6 Tanmoy Chakraborty, Natwar Modani, Ramasuri Narayanam and Seema Nagar DiSCern: A diversified citation recommendation system for scientific queries , (2015). 555 566 7113314 , 10.1109/ICDE.2015.7113314 http://ieeexplore.ieee.org/document/7113314/
- A. Socievole, E. Yoneki, F. De Rango and J. Crowcroft, ML-SOR: Message routing using multi-layer social networks in opportunistic communications, Computer Networks, 81, (201), (2015). 2015 International Congress on Technology, Communication and Knowledge (ICTCK) Mashhad, Iran 2015 International Congress on Technology, Communication and Knowledge (ICTCK) IEEE , (2015). 978-1-4673-9762-9 Mohadeseh Rokni, Mehrdad Jalali and Mohammad. H Moattar A recommender system based on local topology features and message rate , (2015). 276 280 7582682 , 10.1109/ICTCK.2015.7582682 http://ieeexplore.ieee.org/document/7582682/
- Qian-Ming Zhang, Xiao-Ke Xu, Yu-Xiao Zhu and Tao Zhou, Measuring multiple evolution mechanisms of complex networks, Scientific Reports, 5, 1, (2015).
- Zhen Liu, Weike Dong and Yan Fu, Local degree blocking model for link prediction in complex networks, Chaos: An Interdisciplinary Journal of Nonlinear Science, 25, 1, (013115), (2015).
- Francesco Buccafurri, Gianluca Lax, Antonino Nocera and Domenico Ursino, Discovering missing me edges across social networks, Information Sciences, 319, (18), (2015). 2015 IEEE International Conference on Data Mining Workshop (ICDMW) Atlantic City, NJ, USA 2015 IEEE International Conference on Data Mining Workshop (ICDMW) IEEE , (2015). 978-1-4673-8493-3 Mustafa Coskun and Mehmet Koyuturk Link Prediction in Large Networks by Comparing the Global View of Nodes in the Network , (2015). 485 492 7395708 , 10.1109/ICDMW.2015.195 http://ieeexplore.ieee.org/document/7395708/
- Guo-Dong Lyu, Chang-Jun Fan, Lian-Fei Yu, Bao-Xin Xiu and Wei-Ming Zhang, Predicting missing links via structural similarity, International Journal of Modern Physics B, 29, 15, (1550095), (2015). Xueqi Cheng, Hang Li, Evgeniy Gabrilovich and Jie Tang the Eighth ACM International Conference WSDM '15 Shanghai, China Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15 Web Search and Data Mining ACM Press New York, New York, USA , (2015). 9781450333177 , 10.1145/2684822 20150128090605 http://dl.acm.org/citation.cfm?doid=2684822 Jiliang Tang, Shiyu Chang, Charu Aggarwal and Huan Liu Negative Link Prediction in Social Media , (2015). 87 96 , 10.1145/2684822.2685295 20150128090605 http://dl.acm.org/citation.cfm?doid=2684822.2685295
- Christoph Trattner and Michael Steurer, Detecting partnership in location-based and online social networks, Social Network Analysis and Mining, 10.1007/s13278-015-0281-1, 5, 1, (2015).
- Zhi Yu, Can Wang, Jiajun Bu, Xin Wang, Yue Wu and Chun Chen, Friend recommendation with content spread enhancement in social networks, Information Sciences, 309, (102), (2015).
- Jie Tang and Juanzi Li, Semantic Mining of Social Networks, Synthesis Lectures on the Semantic Web: Theory and Technology, 5, 2, (1), (2015).
- Altug Akay, Andrei Dragomir and Bjorn-Erik Erlandsson, Network-Based Modeling and Intelligent Data Mining of Social Media for Improving Care, IEEE Journal of Biomedical and Health Informatics, 19, 1, (210), (2015). Aneesh Sharma, Rakesh Agrawal and Matthias Grossglauser the 2015 ACM COSN '15 Palo Alto, California, USA Proceedings of the 2015 ACM on Conference on Online Social Networks - COSN '15 Conference on Online Social Networks ACM Press New York, New York, USA , (2015). 9781450339513 , 10.1145/2817946 20151027081720 http://dl.acm.org/citation.cfm?doid=2817946 Xidao Wen and Yu-Ru Lin Information Seeking and Responding Networks in Physical Gatherings A Case Study of Academic Conferences in Twitter , (2015). 197 208 , 10.1145/2817946.2817960 20151027081721 http://dl.acm.org/citation.cfm?doid=2817946.2817960 2015 IEEE International Conference on Data Mining (ICDM) Atlantic City, NJ, USA 2015 IEEE International Conference on Data Mining IEEE , (2015). 978-1-4673-9504-5 Grey Ballard, Tamara G. Kolda, Ali Pinar and C. Seshadhri Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search , (2015). 11 20 7373305 , 10.1109/ICDM.2015.46 http://ieeexplore.ieee.org/document/7373305/ 2015 Annual IEEE India Conference (INDICON) New Delhi, India 2015 Annual IEEE India Conference (INDICON) IEEE , (2015). 978-1-4673-7399-9 Ravneet Kaur and Sarbjeet Singh Detecting anomalies in Online Social Networks using graph metrics , (2015). 1 6 7443800 , 10.1109/INDICON.2015.7443800 http://ieeexplore.ieee.org/document/7443800/
- Longjie Li, Lvjian Qian, Jianjun Cheng, Min Ma and Xiaoyun Chen, Accurate similarity index based on the contributions of paths and end nodes for link prediction, Journal of Information Science, 41, 2, (167), (2015).
- Aaron Gerow, Bowen Lou, Eamon Duede and James Evans, Proposing Ties in a Dense Hypergraph of Academics, Social Informatics, 10.1007/978-3-319-27433-1_15, (209-226), (2015).
- Dane Taylor, Florian Klimm, Heather A. Harrington, Miroslav Kramár, Konstantin Mischaikow, Mason A. Porter and Peter J. Mucha, Topological data analysis of contagion maps for examining spreading processes on networks, Nature Communications, 6, 1, (2015).
- Altug Akay, Andrei Dragomir and Bjorn-Erik Erlandsson, A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin, IEEE Journal of Biomedical and Health Informatics, 19, 1, (389), (2015).
- Zhou Zhang, Yuewen Liu, Wei Ding, Wei (Wayne) Huang, Qin Su and Ping Chen, Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance, Decision Support Systems, 79, (46), (2015). 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI) Vietri sul Mare, Italy 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI) IEEE , (2015). 978-1-5090-0163-7 Saoussen Aouay, Salma Jamoussi and Faiez Gargouri Hybrid Swarm Based Method for Link Prediction in Social Networks , (2015). 974 981 7372237 , 10.1109/ICTAI.2015.140 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7372237
- Duan-Bing Chen, Rui Xiao and An Zeng, Predicting the evolution of spreading on complex networks, Scientific Reports, 4, 1, (2015).
- Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long and Chengqi Zhang, Finding the best not the most: regularized loss minimization subgraph selection for graph classification, Pattern Recognition, 48, 11, (3783), (2015). Xueqi Cheng, Hang Li, Evgeniy Gabrilovich and Jie Tang the Eighth ACM International Conference WSDM '15 Shanghai, China Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15 Web Search and Data Mining ACM Press New York, New York, USA , (2015). 9781450333177 , 10.1145/2684822 20150128090605 http://dl.acm.org/citation.cfm?doid=2684822 Yiming Yang, Hanxiao Liu, Jaime Carbonell and Wanli Ma Concept Graph Learning from Educational Data , (2015). 159 168 , 10.1145/2684822.2685292 20150128090605 http://dl.acm.org/citation.cfm?doid=2684822.2685292
- Tanmoy Chakraborty, Niloy Ganguly and Animesh Mukherjee, An author is known by the context she keeps: significance of network motifs in scientific collaborations, Social Network Analysis and Mining, 5, 1, (2015).
- Xiang Ji, Soon Ae Chun, Zhi Wei and James Geller, Twitter sentiment classification for measuring public health concerns, Social Network Analysis and Mining, 5, 1, (2015).
- Guanrong Chen, Xiaofan Wang and Xiang Li, Brief Introduction to Other Topics, Fundamentals of Complex Networks, (343-361), (2015). Hannes Werthner, Markus Zanker, Jennifer Golbeck and Giovanni Semeraro the 9th ACM Conference RecSys '15 Vienna, Austria Proceedings of the 9th ACM Conference on Recommender Systems - RecSys '15 Recommender Systems ACM Press New York, New York, USA , (2015). 9781450336925 , 10.1145/2792838 20150908082737 http://dl.acm.org/citation.cfm?doid=2792838 Rana Forsati, Iman Barjasteh, Farzan Masrour, Abdol-Hossein Esfahanian and Hayder Radha PushTrust An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations , (2015). 51 58 , 10.1145/2792838.2800198 20150908082737 http://dl.acm.org/citation.cfm?doid=2792838.2800198 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) Beijing, China 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) IEEE , (2015). 978-1-4673-7211-4 Yang Zhao, Yang Yang, Zhenqiang Mi and Zenggang Xiong Combining Clustering Algorithm with Factorization Machine for Friend Recommendation in Social Network , (2015). 887 893 7518350 , 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.171 http://ieeexplore.ieee.org/document/7518350/ 2015 23rd International Conference on Geoinformatics Wuhan, China 2015 23rd International Conference on Geoinformatics IEEE , (2015). 978-1-4673-7663-1 Meng Zhou, Wei Tu, Qingquan Li, Yang Yue and Xiaomeng Chang Inferring individual physical locations with social friendships , (2015). 1 6 7378565 , 10.1109/GEOINFORMATICS.2015.7378565 http://ieeexplore.ieee.org/document/7378565/
- Dongjin Song and David A. Meyer, Link sign prediction and ranking in signed directed social networks, Social Network Analysis and Mining, 5, 1, (2015). 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) Beijing, China 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) IEEE , (2015). 978-1-4673-7211-4 Peiyuan Sun, Shengli Liu, Nannan Wu, Bo Li and Jianxin Li Prediction and Clustering of User Relationship in Social Network , (2015). 1155 1162 7518390 , 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.211 http://ieeexplore.ieee.org/document/7518390/ 2015 IEEE International Conference on Big Data (Big Data) Santa Clara, CA, USA 2015 IEEE International Conference on Big Data (Big Data) IEEE , (2015). 978-1-4799-9926-2 Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda Combining activity-evaluation information with NMF for trust-link prediction in social media , (2015). 2263 2272 7364015 , 10.1109/BigData.2015.7364015 http://ieeexplore.ieee.org/document/7364015/
- Xiaojie Wang, Xue Zhang, Chengli Zhao, Zheng Xie, Shengjun Zhang and Dongyun Yi, Predicting link directions using local directed path, Physica A: Statistical Mechanics and its Applications, 419, (260), (2015). 2015 7th International Conference on Communication Systems and Networks (COMSNETS) Bangalore, India 2015 7th International Conference on Communication Systems and Networks (COMSNETS) IEEE , (2015). 978-1-4799-8439-8 Di Huang, Sanfeng Zhang, Pan Hui and Zhou Chen Link pattern prediction in opportunistic networks with kernel regression , (2015). 1 8 7098684 , 10.1109/COMSNETS.2015.7098684 http://ieeexplore.ieee.org/document/7098684/ 2015 7th Conference on Information and Knowledge Technology (IKT) Urmia, Iran 2015 7th Conference on Information and Knowledge Technology (IKT) IEEE , (2015). 978-1-4673-7483-5 978-1-4673-7485-9 Hasti Akbari Deylami and Masoud Asadpour Link prediction in social networks using hierarchical community detection , (2015). 1 5 7288742 , 10.1109/IKT.2015.7288742 http://ieeexplore.ieee.org/document/7288742/
- Mi-yeon Park, Sangheon Lee, Guocheng Jin, Hongme Shen and Wooju Kim, Predicting link of R&D network to stimulate collaboration among education, industry, and research, Journal of Intelligence and Information Systems, 21, 3, (37), (2015). 2015 IEEE International Conference on Data Mining Workshop (ICDMW) Atlantic City, NJ, USA 2015 IEEE International Conference on Data Mining Workshop (ICDMW) IEEE , (2015). 978-1-4673-8493-3 Haodong Yang and Christopher C. Yang Mining a Weighted Heterogeneous Network Extracted from Healthcare-Specific Social Media for Identifying Interactions between Drugs , (2015). 196 203 7395671 , 10.1109/ICDMW.2015.73 http://ieeexplore.ieee.org/document/7395671/
- Xiaoling Sun, Hongfei Lin, Kan Xu and Kun Ding, How we collaborate: characterizing, modeling and predicting scientific collaborations, Scientometrics, 104, 1, (43), (2015). 2015 IEEE High Performance Extreme Computing Conference (HPEC) Waltham, MA, USA 2015 IEEE High Performance Extreme Computing Conference (HPEC) IEEE , (2015). 978-1-4673-9286-0 Lauren Edwards, Luke Johnson, Maja Milosavljevic, Vijay Gadepally and Benjamin A. Miller Sampling large graphs for anticipatory analytics , (2015). 1 6 7322451 , 10.1109/HPEC.2015.7322451 http://ieeexplore.ieee.org/document/7322451/
- Hui Fang, Guibing Guo and Jie Zhang, Multi-faceted trust and distrust prediction for recommender systems, Decision Support Systems, 71, (37), (2015). Jian Pei, Fabrizio Silvestri and Jie Tang the 2015 IEEE/ACM International Conference ASONAM '15 Paris, France Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15 Advances in Social Networks Analysis and Mining 2015 ACM Press New York, New York, USA , (2015). 9781450338547 , 10.1145/2808797 20151113092133 http://dl.acm.org/citation.cfm?doid=2808797 Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng and Kartik Singhal Predicting Small Group Accretion in Social Networks A topology based incremental approach , (2015). 408 415 , 10.1145/2808797.2808914 20151113092134 http://dl.acm.org/citation.cfm?doid=2808797.2808914 Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi the 24th International Conference WWW '15 Companion Florence, Italy Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion World Wide Web ACM Press New York, New York, USA , (2015). 9781450334730 , 10.1145/2740908 20160205121003 http://dl.acm.org/citation.cfm?doid=2740908 Anastasios Noulas, Blake Shaw, Renaud Lambiotte and Cecilia Mascolo Topological Properties and Temporal Dynamics of Place Networks in Urban Environments , (2015). 431 441 , 10.1145/2740908.2745402 20160205121004 http://dl.acm.org/citation.cfm?doid=2740908.2745402
- Natthakan Iam-On and Tossapon Boongoen, Comparative study of matrix refinement approaches for ensemble clustering, Machine Learning, 98, 1-2, (269), (2015).
- Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng and Jun Li, A link prediction approach for item recommendation with complex number, Knowledge-Based Systems, 81, (148), (2015).
- Ittai Abraham, Shiri Chechik, David Kempe and Aleksandrs Slivkins, Low-Distortion Inference of Latent Similarities from a Multiplex Social Network, SIAM Journal on Computing, 44, 3, (617), (2015).
- Jari Saramäki and Esteban Moro, From seconds to months: an overview of multi-scale dynamics of mobile telephone calls, The European Physical Journal B, 88, 6, (2015). Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi the 24th International Conference WWW '15 Florence, Italy Proceedings of the 24th International Conference on World Wide Web - WWW '15 World Wide Web ACM Press New York, New York, USA , (2015). 9781450334693 , 10.1145/2736277 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277 Aniket Chakrabarti and Srinivasan Parthasarathy Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing , (2015). 162 172 , 10.1145/2736277.2741665 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277.2741665 2015 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW) Hyderabad, India 2015 IEEE International Parallel and Distributed Processing Symposium Workshop IEEE , (2015). 978-1-4673-7684-6 Ravikant Dindokar, Neel Choudhury and Yogesh Simmhan Analysis of Subgraph-Centric Distributed Shortest Path Algorithm , (2015). 1185 1190 7284445 , 10.1109/IPDPSW.2015.87 http://ieeexplore.ieee.org/document/7284445/
- Xue Zhang, Chengli Zhao, Xiaojie Wang and Dongyun Yi, Identifying Missing and Spurious Interactions in Directed Networks, International Journal of Distributed Sensor Networks, 11, 9, (507386), (2015).
- David F. Gleich, PageRank Beyond the Web, SIAM Review, 57, 3, (321), (2015). Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi the 24th International Conference WWW '15 Florence, Italy Proceedings of the 24th International Conference on World Wide Web - WWW '15 World Wide Web ACM Press New York, New York, USA , (2015). 9781450334693 , 10.1145/2736277 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277 Robert West, Ashwin Paranjape and Jure Leskovec Mining Missing Hyperlinks from Human Navigation Traces A Case Study of Wikipedia , (2015). 1242 1252 , 10.1145/2736277.2741666 20160205121003 http://dl.acm.org/citation.cfm?doid=2736277.2741666
- Mathieu Génois, Christian L. Vestergaard, Ciro Cattuto and Alain Barrat, Compensating for population sampling in simulations of epidemic spread on temporal contact networks, Nature Communications, 6, 1, (2015).
- Linyuan Lü, Liming Pan, Tao Zhou, Yi-Cheng Zhang and H. Eugene Stanley, Toward link predictability of complex networks, Proceedings of the National Academy of Sciences, 112, 8, (2325), (2015). James Bailey, Alistair Moffat, Charu C. Aggarwal, Maarten de Rijke, Ravi Kumar, Vanessa Murdock, Timos Sellis and Jeffrey Xu Yu the 24th ACM International CIKM '15 Melbourne, Australia Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2015). 9781450337946 , 10.1145/2806416 20161201021033 http://dl.acm.org/citation.cfm?doid=2806416 Haokai Lu, James Caverlee and Wei Niu BiasWatch A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media , (2015). 213 222 , 10.1145/2806416.2806573 20161201021039 http://dl.acm.org/citation.cfm?doid=2806416.2806573
- Peng Wang, BaoWen Xu, YuRong Wu and XiaoYu Zhou, Link prediction in social networks: the state-of-the-art, Science China Information Sciences, 58, 1, (1), (2015).
- Jin-Qi Zhu, Li Lu and Chun-Mei Ma, From Interest to Location: Neighbor-Based Friend Recommendation in Social Media, Journal of Computer Science and Technology, 30, 6, (1188), (2015).
- Ying Wang, Xin Wang and Wan-Li Zuo, Research on Trust Prediction from a Sociological Perspective, Journal of Computer Science and Technology, 30, 4, (843), (2015). 2015 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) Shenyang, China 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) IEEE , (2015). 978-1-4799-8728-3 978-1-4799-8730-6 Jonghwan Ri, Hongwei Lu, Zaobin Gan, Gwangmin Choe and Songhyok Ri Prediction of trust relationship based on subjective logic , (2015). 1006 1011 7288082 , 10.1109/CYBER.2015.7288082 http://ieeexplore.ieee.org/document/7288082/ Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoff Webb, Dragos D. Margineantu and Graham Williams the 21th ACM SIGKDD International Conference KDD '15 Sydney, NSW, Australia Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2015). 9781450336642 , 10.1145/2783258 20150807112723 http://dl.acm.org/citation.cfm?doid=2783258 Dongjin Song, David A. Meyer and Dacheng Tao Efficient Latent Link Recommendation in Signed Networks , (2015). 1105 1114 , 10.1145/2783258.2783358 20150807112724 http://dl.acm.org/citation.cfm?doid=2783258.2783358
- Marco Masseroli, Arif Canakoglu and Massimiliano Quigliatti, Detection of gene annotations and protein-protein interaction associated disorders through transitive relationships between integrated annotations, BMC Genomics, 16, Suppl 6, (S5), (2015). James Bailey, Alistair Moffat, Charu C. Aggarwal, Maarten de Rijke, Ravi Kumar, Vanessa Murdock, Timos Sellis and Jeffrey Xu Yu the 24th ACM International CIKM '15 Melbourne, Australia Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2015). 9781450337946 , 10.1145/2806416 20161201021033 http://dl.acm.org/citation.cfm?doid=2806416 Yuan He, Cheng Wang and Changjun Jiang Discovering Canonical Correlations between Topical and Topological Information in Document Networks , (2015). 1281 1290 , 10.1145/2806416.2806518 20161201021050 http://dl.acm.org/citation.cfm?doid=2806416.2806518 2015 International Joint Conference on Neural Networks (IJCNN) Killarney, Ireland 2015 International Joint Conference on Neural Networks (IJCNN) IEEE , (2015). 978-1-4799-1960-4 Lilian Berton, Jorge Valverde-Rebaza and Alneu de Andrade Lopes Link prediction in graph construction for supervised and semi-supervised learning , (2015). 1 8 7280543 , 10.1109/IJCNN.2015.7280543 http://ieeexplore.ieee.org/document/7280543/ 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Campus des Cordeliers, Paris, France 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2015). 978-1-4673-8272-4 Ryan A. Rossi and Rong Zhou Scalable relational learning for large heterogeneous networks , (2015). 1 10 7344799 , 10.1109/DSAA.2015.7344799 http://ieeexplore.ieee.org/document/7344799/
- Jing Zhao, Lili Miao, Jian Yang, Haiyang Fang, Qian-Ming Zhang, Min Nie, Petter Holme and Tao Zhou, Prediction of Links and Weights in Networks by Reliable Routes, Scientific Reports, 10.1038/srep12261, 5, 1, (2015).
- , References, Social Sensing, 10.1016/B978-0-12-800867-6.09992-1, (197-208), (2015). 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Nanchang, China 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation IEEE , (2015). 978-1-4673-7143-8 Liu Jie Analysis of Link Prediction Method in Mobile Social Network , (2015). 145 148 7263533 , 10.1109/ICMTMA.2015.41 http://ieeexplore.ieee.org/document/7263533/
- Manisha Pujari and Rushed Kanawati, Link prediction in multiplex networks, Networks and Heterogeneous Media, 10, 1, (17), (2015).
- Min-Woo Ahn and Woo-Sung Jung, Accuracy test for link prediction in terms of similarity index: The case of WS and BA models, Physica A: Statistical Mechanics and its Applications, 429, (177), (2015).
- Zhou Zhang, Yuewen Liu, Wei Ding and Wei Wayne Huang, A Friend Recommendation System Using Users’ Information of Total Attributes, Data Science, 10.1007/978-3-319-24474-7_6, (34-41), (2015). Jian Pei, Fabrizio Silvestri and Jie Tang the 2015 IEEE/ACM International Conference ASONAM '15 Paris, France Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15 Advances in Social Networks Analysis and Mining 2015 ACM Press New York, New York, USA , (2015). 9781450338547 , 10.1145/2808797 20151113092133 http://dl.acm.org/citation.cfm?doid=2808797 Buket Kaya and Mustafa Poyraz Finding Relations Between Diseases by Age-Series Based Supervised Link Prediction , (2015). 1097 1103 , 10.1145/2808797.2808812 20151113092134 http://dl.acm.org/citation.cfm?doid=2808797.2808812 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Campus des Cordeliers, Paris, France 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2015). 978-1-4673-8272-4 Riccardo Guidotti, Michele Coscia, Dino Pedreschi and Diego Pennacchioli Behavioral entropy and profitability in retail , (2015). 1 10 7344821 , 10.1109/DSAA.2015.7344821 http://ieeexplore.ieee.org/document/7344821/ Timos Sellis, Susan B. Davidson and Zack Ives the 2015 ACM SIGMOD International Conference SIGMOD '15 Melbourne, Victoria, Australia Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15 Management of Data ACM Press New York, New York, USA , (2015). 9781450327589 , 10.1145/2723372 20150601121643 http://dl.acm.org/citation.cfm?doid=2723372 Kijung Shin, Jinhong Jung, Sael Lee and U. Kang BEAR Block Elimination Approach for Random Walk with Restart on Large Graphs , (2015). 1571 1585 , 10.1145/2723372.2723716 20150601121645 http://dl.acm.org/citation.cfm?doid=2723372.2723716
- Fragkiskos Papadopoulos, Constantinos Psomas and Dmitri Krioukov, Network Mapping by Replaying Hyperbolic Growth, IEEE/ACM Transactions on Networking, 23, 1, (198), (2015). 2015 IEEE International Conference on Data Mining Workshop (ICDMW) Atlantic City, NJ, USA 2015 IEEE International Conference on Data Mining Workshop (ICDMW) IEEE , (2015). 978-1-4673-8493-3 Saksham Singhal and Vikram Pudi Dispersion Based Similarity for Mining Similar Papers in Citation Network , (2015). 524 531 7395713 , 10.1109/ICDMW.2015.166 http://ieeexplore.ieee.org/document/7395713/
- Hung-Hsuan Chen and C. Lee Giles, ASCOS++, ACM Transactions on Knowledge Discovery from Data, 10, 2, (1), (2015). Jian Pei, Fabrizio Silvestri and Jie Tang the 2015 IEEE/ACM International Conference ASONAM '15 Paris, France Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15 Advances in Social Networks Analysis and Mining 2015 ACM Press New York, New York, USA , (2015). 9781450338547 , 10.1145/2808797 20151113092133 http://dl.acm.org/citation.cfm?doid=2808797 Farzan Masrour, Iman Barjesteh, Rana Forsati, Abdol-Hossein Esfahanian and Hayder Radha Network Completion with Node Similarity A Matrix Completion Approach with Provable Guarantees , (2015). 302 307 , 10.1145/2808797.2809407 20151113092134 http://dl.acm.org/citation.cfm?doid=2808797.2809407 2015 IEEE International Conference on Information and Automation (ICIA) Lijiang, China 2015 IEEE International Conference on Information and Automation IEEE , (2015). 978-1-4673-9104-7 Suhuan Sun, Changwei Zhao and Zhiyong Zhang A matrix factorization based trust factors model , (2015). 803 808 7279394 , 10.1109/ICInfA.2015.7279394 http://ieeexplore.ieee.org/document/7279394/ Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi the 24th International Conference WWW '15 Florence, Italy Proceedings of the 24th International Conference on World Wide Web - WWW '15 World Wide Web ACM Press New York, New York, USA , (2015). 9781450334693 , 10.1145/2736277 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277 Changping Meng, Reynold Cheng, Silviu Maniu, Pierre Senellart and Wangda Zhang Discovering Meta-Paths in Large Heterogeneous Information Networks , (2015). 754 764 , 10.1145/2736277.2741123 20160205121002 http://dl.acm.org/citation.cfm?doid=2736277.2741123
- Kyriakos Mouratidis, Jing Li, Yu Tang and Nikos Mamoulis, Joint Search by Social and Spatial Proximity, IEEE Transactions on Knowledge and Data Engineering, 27, 3, (781), (2015).
- Dong Wang, Tarek Abdelzaher and Lance Kaplan, Mathematical foundations of social sensing, Social Sensing, 10.1016/B978-0-12-800867-6.00003-0, (21-36), (2015). Jian Pei, Fabrizio Silvestri and Jie Tang the 2015 IEEE/ACM International Conference ASONAM '15 Paris, France Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15 Advances in Social Networks Analysis and Mining 2015 ACM Press New York, New York, USA , (2015). 9781450338547 , 10.1145/2808797 20151113092133 http://dl.acm.org/citation.cfm?doid=2808797 Mujtaba Jawed, Mehmet Kaya and Reda Alhajj Time Frame based Link Prediction in Directed Citation Networks , (2015). 1162 1168 , 10.1145/2808797.2809323 20151113092134 http://dl.acm.org/citation.cfm?doid=2808797.2809323 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) Turin, Italy 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) IEEE , (2015). 978-1-4799-7079-7 Majdi Rawashdeh, Mohammed F. Alhamid, M. Anwar Hossain and Abdulmotaleb El Saddik Boosting tag-based search in social media sites , (2015). 1 6 7169862 , 10.1109/ICMEW.2015.7169862 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7169862
- Andrea Fornaia, Christian Napoli, Giuseppe Pappalardo, Emiliano Tramontana, Claudia Di Napoli and Silvia Rossi, An AOP-RBPNN approach to infer user interests and mine contents on social media, Intelligenza Artificiale, 9, 2, (209), (2015).
- Feng Shi, Jacob G. Foster and James A. Evans, Weaving the fabric of science: Dynamic network models of science's unfolding structure, Social Networks, 43, (73), (2015).
- Waqas Nawaz, Kifayat-Ullah Khan and Young-Koo Lee, SPORE: shortest path overlapped regions and confined traversals towards graph clustering, Applied Intelligence, 43, 1, (208), (2015).
- Mehran Asadi and Afrand Agah, Navigation in Online Social Networks, Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, 10.4018/978-1-4666-8505-5.ch016, (328-341)
- Aline Paes and Daniel de Oliveira, Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks, High Performance Computing, 10.1007/978-3-319-26928-3_1, (3-18), (2015). Manish Gupta, Y. Narahari, V. S. Subrahmanian and Indrajit Bhattacharya the Second ACM IKDD Conference CoDS '15 Bangalore, India Proceedings of the Second ACM IKDD Conference on Data Sciences - CoDS '15 Data Sciences ACM Press New York, New York, USA , (2015). 9781450334365 , 10.1145/2732587 20150324082212 http://dl.acm.org/citation.cfm?doid=2732587 T. Jaya Lakshmi and S. Durga Bhavani Enhancement to community-based multi-relational link prediction using co-occurrence probability feature , (2015). 86 91 , 10.1145/2732587.2732599 20150324082212 http://dl.acm.org/citation.cfm?doid=2732587.2732599 2015 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW) Hyderabad, India 2015 IEEE International Parallel and Distributed Processing Symposium Workshop IEEE , (2015). 978-1-4673-7684-6 Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Ben Miller and Jeremy Kepner Graphulo: Linear Algebra Graph Kernels for NoSQL Databases , (2015). 822 830 7284396 , 10.1109/IPDPSW.2015.19 http://ieeexplore.ieee.org/document/7284396/
- Simone Daminelli, Josephine Maria Thomas, Claudio Durán and Carlo Vittorio Cannistraci, Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks, New Journal of Physics, 17, 11, (113037), (2015).
- Reza Zafarani, Lei Tang and Huan Liu, User Identification Across Social Media, ACM Transactions on Knowledge Discovery from Data, 10, 2, (1), (2015). 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity) Chengdu, China 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity) IEEE , (2015). 978-1-5090-1893-2 Shuhong Zhang, Feng Xia, Jun Zhang, Xiaomei Bai and Zhaolong Ning Collaboration Prediction in Heterogeneous Information Networks , (2015). 203 208 7463725 , 10.1109/SmartCity.2015.71 http://ieeexplore.ieee.org/document/7463725/ 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Athens, Greece 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) IEEE , (2015). 978-1-4673-6630-4 Raphal Tackx, Jean-loup Guillaume and Fabien Tarissan Revealing intricate properties of communities in the bipartite structure of online social networks , (2015). 321 326 7128892 , 10.1109/RCIS.2015.7128892 http://ieeexplore.ieee.org/document/7128892/
- Seyedamir Tavakoli Taba, Liaquat Hossain, Simon Reay Atkinson and Sarah Lewis, Towards understanding longitudinal collaboration networks: a case of mammography performance research, Scientometrics, 10.1007/s11192-015-1560-3, 103, 2, (531-544), (2015).
- Lei Li, Wei Peng, Saurabh Kataria, Tong Sun and Tao Li, Recommending Users and Communities in Social Media, ACM Transactions on Knowledge Discovery from Data, 10, 2, (1), (2015).
- Longjie Li, Lvjian Qian, Xiaoping Wang, Shishun Luo and Xiaoyun Chen, Accurate similarity index based on activity and connectivity of node for link prediction, International Journal of Modern Physics B, 10.1142/S0217979215501088, 29, 17, (1550108), (2015). Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoff Webb, Dragos D. Margineantu and Graham Williams the 21th ACM SIGKDD International Conference KDD '15 Sydney, NSW, Australia Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2015). 9781450336642 , 10.1145/2783258 20150807112723 http://dl.acm.org/citation.cfm?doid=2783258 Yu Han and Jie Tang Probabilistic Community and Role Model for Social Networks , (2015). 407 416 , 10.1145/2783258.2783274 20150807112724 http://dl.acm.org/citation.cfm?doid=2783258.2783274 Jian Pei, Fabrizio Silvestri and Jie Tang the 2015 IEEE/ACM International Conference ASONAM '15 Paris, France Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15 Advances in Social Networks Analysis and Mining 2015 ACM Press New York, New York, USA , (2015). 9781450338547 , 10.1145/2808797 20151113092133 http://dl.acm.org/citation.cfm?doid=2808797 Cherry Ahmed and Abeer ElKorany Enhancing Link Prediction in Twitter using Semantic User Attributes , (2015). 1155 1161 , 10.1145/2808797.2810056 20151113092134 http://dl.acm.org/citation.cfm?doid=2808797.2810056 Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi the 24th International Conference WWW '15 Florence, Italy Proceedings of the 24th International Conference on World Wide Web - WWW '15 World Wide Web ACM Press New York, New York, USA , (2015). 9781450334693 , 10.1145/2736277 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277 Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan and Qiaozhu Mei LINE Large-scale Information Network Embedding , (2015). 1067 1077 , 10.1145/2736277.2741093 20160205121003 http://dl.acm.org/citation.cfm?doid=2736277.2741093
- Bharath K. Samanthula and Wei Jiang, Interest-driven private friend recommendation, Knowledge and Information Systems, 42, 3, (663), (2015). 2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Valencia 2015 26th International Workshop on Database and Expert Systems Applications (DEXA) IEEE , (2015). 978-1-4673-7581-8 978-1-4673-7582-5 Remzi Celebi, Vahab Mostafapour, Erkan Yasar, Ozgur Gumus and Oguz Dikenelli Prediction of Drug-Drug Interactions Using Pharmacological Similarities of Drugs , (2015). 14 17 7406262 , 10.1109/DEXA.2015.23 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7406262 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI) Vietri sul Mare, Italy 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI) IEEE , (2015). 978-1-5090-0163-7 Sabrine Mallek, Imen Boukhris, Zied Elouedi and Eric Lefevre The Link Prediction Problem under a Belief Function Framework , (2015). 1013 1020 7372242 , 10.1109/ICTAI.2015.145 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7372242
- Sigal Sina, Avi Rosenfeld and Sarit Kraus, SAMI: an algorithm for solving the missing node problem using structure and attribute information, Social Network Analysis and Mining, 5, 1, (2015). Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi the 24th International Conference WWW '15 Florence, Italy Proceedings of the 24th International Conference on World Wide Web - WWW '15 World Wide Web ACM Press New York, New York, USA , (2015). 9781450334693 , 10.1145/2736277 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277 Yael Anava, Noa Avigdor-Elgrabli and Iftah Gamzu Improved Theoretical and Practical Guarantees for Chromatic Correlation Clustering , (2015). 55 65 , 10.1145/2736277.2741629 20160205121001 http://dl.acm.org/citation.cfm?doid=2736277.2741629
- Yu Zhang, Xiaofei Liao, Hai Jin and Geyong Min, Resisting Skew-Accumulation for Time-Stepped Applications in the Cloud via Exploiting Parallelism, IEEE Transactions on Cloud Computing, 3, 1, (54), (2015).
- Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu and Xiaolong Wang, Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks, Entropy, 17, 12, (2140), (2015).
- Erick Stattner and Martine Collard, Descriptive Modeling of Social Networks, Procedia Computer Science, 10.1016/j.procs.2015.05.505, 52, (226-233), (2015). 2015 24th International Conference on Computer Communication and Networks (ICCCN) Las Vegas, NV, USA 2015 24th International Conference on Computer Communication and Networks (ICCCN) IEEE , (2015). 978-1-4799-9964-4 Yin Li and Sanfeng Zhang Combo-Pre: A Combination Link Prediction Method in Opportunistic Networks , (2015). 1 6 7288386 , 10.1109/ICCCN.2015.7288386 http://ieeexplore.ieee.org/document/7288386/
- Boyao Zhu and Yongxiang Xia, An information-theoretic model for link prediction in complex networks, Scientific Reports, 5, 1, (2015). 2015 IEEE International Conference on Data Mining (ICDM) Atlantic City, NJ, USA 2015 IEEE International Conference on Data Mining IEEE , (2015). 978-1-4673-9504-5 Yi-Ling Chen, Ming-Syan Chen and Philip S. Yu Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks , (2015). 51 60 7373309 , 10.1109/ICDM.2015.91 http://ieeexplore.ieee.org/document/7373309/ 2015 48th Hawaii International Conference on System Sciences (HICSS) HI, USA 2015 48th Hawaii International Conference on System Sciences IEEE , (2015). 978-1-4799-7367-5 Chen Yang, Jianshan Sun, Jian Ma, Shanshan Zhang, Gang Wang and Zhongsheng Hua Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks , (2015). 552 561 7069722 , 10.1109/HICSS.2015.73 http://ieeexplore.ieee.org/document/7069722/
- Buket Kaya and Mustafa Poyraz, Age-series based link prediction in evolving disease networks, Computers in Biology and Medicine, 63, (1), (2015). Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoff Webb, Dragos D. Margineantu and Graham Williams the 21th ACM SIGKDD International Conference KDD '15 Sydney, NSW, Australia Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 Knowledge Discovery and Data Mining ACM Press New York, New York, USA , (2015). 9781450336642 , 10.1145/2783258 20150807112723 http://dl.acm.org/citation.cfm?doid=2783258 Jian Tang, Meng Qu and Qiaozhu Mei PTE Predictive Text Embedding through Large-scale Heterogeneous Text Networks , (2015). 1165 1174 , 10.1145/2783258.2783307 20150807112724 http://dl.acm.org/citation.cfm?doid=2783258.2783307 2015 IEEE International Conference on Data Mining (ICDM) Atlantic City, NJ, USA 2015 IEEE International Conference on Data Mining IEEE , (2015). 978-1-4673-9504-5 Dongjin Song, David A. Meyer and Dacheng Tao Top-k Link Recommendation in Social Networks , (2015). 389 398 7373343 , 10.1109/ICDM.2015.136 http://ieeexplore.ieee.org/document/7373343/
- Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu and Xiaolong Wang, Multimodal Learning Based Approaches for Link Prediction in Social Networks, Natural Language Processing and Chinese Computing, 10.1007/978-3-319-25207-0_11, (123-133), (2015).
- Chungmok Lee, Minh Pham, Myong K. Jeong, Dohyun Kim, Dennis K. J. Lin and Wanpracha Art Chavalitwongse, A Network Structural Approach to the Link Prediction Problem, INFORMS Journal on Computing, 27, 2, (249), (2015).
- Christos Makris and Evangelos Theodoridis, Computational Methods for Modeling Biological Interaction Networks, Pattern Recognition in Computational Molecular Biology, (505-524), (2015).
- Jiliang Tang, Huiji Gao, Atish Das Sarma, Yingzhou Bi and Huan Liu, Trust Evolution: Modeling and Its Applications, IEEE Transactions on Knowledge and Data Engineering, 27, 6, (1724), (2015).
- Jing Zhang, Zhanpeng Fang, Wei Chen and Jie Tang, Diffusion of “Following” Links in Microblogging Networks, IEEE Transactions on Knowledge and Data Engineering, 27, 8, (2093), (2015).
- Ehsan Sherkat, Maseud Rahgozar and Masoud Asadpour, Structural link prediction based on ant colony approach in social networks, Physica A: Statistical Mechanics and its Applications, 419, (80), (2015).
- Rui Zeng, Quan Z. Sheng and Lina Yao, A simulation method for social networks, Social Network Analysis and Mining, 5, 1, (2015).
- Daniel K. Sewell and Yuguo Chen, Latent Space Models for Dynamic Networks, Journal of the American Statistical Association, 110, 512, (1646), (2015).
- Wen-Yang Lu, Yu-Bin Yang, Xiao-Jiao Mao and Qi-Hai Zhu, Effective Citation Recommendation by Unbiased Reference Priority Recognition, Web Technologies and Applications, 10.1007/978-3-319-25255-1_44, (536-547), (2015). 2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW) Seoul, South Korea 2015 31st IEEE International Conference on Data Engineering Workshops IEEE , (2015). 978-1-4799-8442-8 Waqas Nawaz Traversal optimizations and analysis for large graph clustering , (2015). 260 264 7129587 , 10.1109/ICDEW.2015.7129587 http://ieeexplore.ieee.org/document/7129587/ 2014 International Joint Conference on Neural Networks (IJCNN) Beijing, China 2014 International Joint Conference on Neural Networks (IJCNN) IEEE , (2014). 978-1-4799-1484-5 978-1-4799-6627-1 Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang and Xiaoming Jin Max-margin latent feature relational models for entity-attribute networks , (2014). 1667 1674 6889508 , 10.1109/IJCNN.2014.6889508 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6889508
- Xin Zhang, Shuai Shao, H. Eugene Stanley and Shlomo Havlin, Dynamic motifs in socio-economic networks, EPL (Europhysics Letters), 108, 5, (58001), (2014).
- Tiago P. Peixoto, Hierarchical Block Structures and High-Resolution Model Selection in Large Networks, Physical Review X, 4, 1, (2014). Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization, (2014).D. Sharma and U. Sharma110.1109/ICRITO.2014.7014756
- Ryan N Lichtenwalter and Nitesh V Chawla, Vertex collocation profiles: theory, computation, and results, SpringerPlus, 3, 1, (116), (2014).
- Fei Tan, Yongxiang Xia, Boyao Zhu and Wang Zhan, Link Prediction in Complex Networks: A Mutual Information Perspective, PLoS ONE, 9, 9, (e107056), (2014).
- Haojing Huang, Zhiming Cui and Shukui Zhang, A Spread Willingness Computing-Based Information Dissemination Model, The Scientific World Journal, 2014, (1), (2014). 2014 11th Annual Conference on Wireless On-demand Network Systems and Services (WONS) Obergurgl, Austria 2014 11th Annual Conference on Wireless On-demand Network Systems and Services (WONS) IEEE , (2014). 978-1-4799-4937-3 Alexandru Tatar, Tiphaine Phe-Neau, Marcelo Dias de Amorim, Vania Conan and Serge Fdida Beyond contact predictions in mobile opportunistic networks , (2014). 65 72 6814723 , 10.1109/WONS.2014.6814723 http://ieeexplore.ieee.org/document/6814723/ 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) China 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) IEEE , (2014). 978-1-4799-5877-1 Flavio Cirillo and Tobias Jacobs Link discovery in social networks , (2014). 898 905 6921692 , 10.1109/ASONAM.2014.6921692 http://ieeexplore.ieee.org/document/6921692/ 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) Shenzhen, China 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems IEEE , (2014). 978-1-4799-4720-1 978-1-4799-4719-5 Yun Li, Kai Niu and Baoyu Tian Link prediction in Sina Microblog using comprehensive features and improved SVM algorithm , (2014). 18 22 7175696 , 10.1109/CCIS.2014.7175696 http://ieeexplore.ieee.org/document/7175696/
- Yan Yu and Xinxin Wang, Link Prediction in Directed Network and Its Application in Microblog, Mathematical Problems in Engineering, 2014, (1), (2014).
- Feng Xia, Zhen Chen, Wei Wang, Jing Li and Laurence T. Yang, MVCWalker: Random Walk-Based Most Valuable Collaborators Recommendation Exploiting Academic Factors, IEEE Transactions on Emerging Topics in Computing, 2, 3, (364), (2014).
- Yuriy Hulovatyy, Ryan W. Solava, Tijana Milenković and Peter Csermely, Revealing Missing Parts of the Interactome via Link Prediction, PLoS ONE, 9, 3, (e90073), (2014). Chin-Wan Chung, Andrei Broder, Kyuseok Shim and Torsten Suel the 23rd International Conference WWW '14 Companion Seoul, Korea Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion World Wide Web ACM Press New York, New York, USA , (2014). 9781450327459 , 10.1145/2567948 20160205120955 http://dl.acm.org/citation.cfm?doid=2567948 Chungmok Lee, Minh Pham, Norman Kim, Myong K. Jeong, Dennis K.J. Lin and Wanpracha Art Chavalitwongse A novel link prediction approach for scale-free networks , (2014). 1333 1338 , 10.1145/2567948.2580049 20160205120958 http://dl.acm.org/citation.cfm?doid=2567948.2580049
- 子轩 黄, Link Prediction Based on Clustering Coefficient, Applied Physics, 04, 06, (101), (2014). 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) Chengdu, China 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) IEEE , (2014). 978-1-4799-4717-1 Majdi Rawashdeh, Mohammed F. Alhamid, Heung-Nam Kim, Awny Alnusair, Vanessa Maclsaac and Abdulmotaleb El Saddik Graph-based personalized recommendation in social tagging systems , (2014). 1 6 6890593 , 10.1109/ICMEW.2014.6890593 http://ieeexplore.ieee.org/document/6890593/
- Raf Guns and Ronald Rousseau, Recommending research collaborations using link prediction and random forest classifiers, Scientometrics, 101, 2, (1461), (2014).
- Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang and Yue Lu, Exploring and inferring user–user pseudo‐friendship for sentiment analysis with heterogeneous networks, Statistical Analysis and Data Mining: The ASA Data Science Journal, 7, 4, (308-321), (2014).
- Hubert Buch‐Hansen, Social Network Analysis and Critical Realism, Journal for the Theory of Social Behaviour, 44, 3, (306-325), (2013). Roger Zimmermann and Yi Yu the First International Workshop WISMM '14 Orlando, Florida, USA Proceedings of the First International Workshop on Internet-Scale Multimedia Management - WISMM '14 Internet-Scale Multimedia Management ACM Press New York, New York, USA , (2014). 9781450331579 , 10.1145/2661714 20141107100524 http://dl.acm.org/citation.cfm?doid=2661714 Mukesh Kumar Saini, Fatimah Al-Zamzami and Abdulmotaleb El Saddik Towards Storytelling by Extracting Social Information from OSN Photo's Metadata , (2014). 15 20 , 10.1145/2661714.2661721 20141107100524 http://dl.acm.org/citation.cfm?doid=2661714.2661721
- Sukhwan Jung and Aviv Segev, Analyzing future communities in growing citation networks, Knowledge-Based Systems, 69, (34), (2014). 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Doha, Qatar 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) IEEE , (2014). 978-1-4799-7100-8 Saoussen Aouay, Salma Jamoussi and Faiez Gargouri Feature based link prediction , (2014). 523 527 7073243 , 10.1109/AICCSA.2014.7073243 http://ieeexplore.ieee.org/document/7073243/
- Xin Li, Mengyue Wang and T.-P. Liang, A multi-theoretical kernel-based approach to social network-based recommendation, Decision Support Systems, 65, (95), (2014). 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) Hsinchu, Taiwan Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) IEEE , (2014). 978-1-4799-3776-9 Shiping Huang, Yong Tang, Feiyi Tang and Jianguo Li Link prediction based on time-varied weight in co-authorship network , (2014). 706 709 6846931 , 10.1109/CSCWD.2014.6846931 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6846931
- Jing Li, Lingling Zhang, Fan Meng and Fenhua Li, Recommendation Algorithm based on Link Prediction and Domain Knowledge in Retail Transactions, Procedia Computer Science, 31, (875), (2014).
- Mingxiang Zhu, Tianjie Cao and Xiangying Jiang, Using clustering coefficient to construct weighted networks for supervised link prediction, Social Network Analysis and Mining, 4, 1, (2014). 2014 International Conference on Data Science and Advanced Analytics (DSAA) Shanghai, China 2014 International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2014). 978-1-4799-6991-3 Qinna Wang Link prediction and threads in email networks , (2014). 470 476 7058114 , 10.1109/DSAA.2014.7058114 http://ieeexplore.ieee.org/document/7058114/ 2014 IEEE 30th International Conference on Data Engineering (ICDE) Chicago, IL, USA 2014 IEEE 30th International Conference on Data Engineering IEEE , (2014). 978-1-4799-2555-1 Wangda Zhang, Reynold Cheng and Ben Kao Evaluating multi-way joins over discounted hitting time , (2014). 724 735 6816695 , 10.1109/ICDE.2014.6816695 http://ieeexplore.ieee.org/document/6816695/ Gail-Joon Ahn and Anupam Datta the 13th Workshop WPES '14 Scottsdale, Arizona, USA Proceedings of the 13th Workshop on Privacy in the Electronic Society - WPES '14 Privacy in the Electronic Society ACM Press New York, New York, USA , (2014). 9781450331487 , 10.1145/2665943 20141107100519 http://dl.acm.org/citation.cfm?doid=2665943 Lei Jin, Hassan Takabi, Xuelian Long and James Joshi Exploiting Users' Inconsistent Preferences in Online Social Networks to Discover Private Friendship Links , (2014). 59 68 , 10.1145/2665943.2665956 20141107100520 http://dl.acm.org/citation.cfm?doid=2665943.2665956 2014 10th International Conference on Natural Computation (ICNC) Xiamen 2014 10th International Conference on Natural Computation (ICNC) IEEE , (2014). 978-1-4799-5151-2 Weiyu Zhang, Bin Wu and Weiyu Zhang Accurate and fast link prediction in complex networks , (2014). 653 657 6975913 , 10.1109/ICNC.2014.6975913 http://ieeexplore.ieee.org/document/6975913/
- Ke-Jia Chen, Jingyu Han and Yun Li, HALLP: A Hybrid Active Learning Approach to Link Prediction Task, Journal of Computers, 9, 3, (2014).
- Radosław Michalski, Tomasz Kajdanowicz, Piotr Bródka and Przemysław Kazienko, Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach, New Generation Computing, 32, 3-4, (213), (2014).
- Chuanmin Mi, Xiaofei Shan and Jing Ma, Improved Network-Based Recommendation Algorithm, iBusiness, 06, 03, (109), (2014). 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) China 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) IEEE , (2014). 978-1-4799-5877-1 Zaihan Yang, Dawei Yin and Brian D. Davison Recommendation in Academia: A joint multi-relational model , (2014). 566 571 6921643 , 10.1109/ASONAM.2014.6921643 http://ieeexplore.ieee.org/document/6921643/
- Folke Mitzlaff, Martin Atzmueller, Andreas Hotho and Gerd Stumme, The social distributional hypothesis: a pragmatic proxy for homophily in online social networks, Social Network Analysis and Mining, 4, 1, (2014). 2014 11th World Congress on Intelligent Control and Automation (WCICA) Shenyang, China Proceeding of the 11th World Congress on Intelligent Control and Automation IEEE , (2014). 978-1-4799-5825-2 Chenxu Wang, Xiaohong Guan and Tao Qin Microblog friends automatic clustering framework based on similarity measurement , (2014). 5152 5157 7053592 , 10.1109/WCICA.2014.7053592 http://ieeexplore.ieee.org/document/7053592/
- Ilkka Kivimäki, Masashi Shimbo and Marco Saerens, Developments in the theory of randomized shortest paths with a comparison of graph node distances, Physica A: Statistical Mechanics and its Applications, 393, (600), (2014). 2014 4th International Symposium ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb) Algiers, Algeria 2014 4th International Symposium ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb) IEEE , (2014). 978-1-4799-7508-2 978-1-4799-7507-5 Djamila Mohdeb, Abdelhak Boubetra and Mourad Charikhi WMPLP: A model for link prediction in heterogeneous social networks , (2014). 1 4 7033447 , 10.1109/ISKO-Maghreb.2014.7033447 http://ieeexplore.ieee.org/document/7033447/
- Jinho Choi and Yong-Sik Hwang, Patent keyword network analysis for improving technology development efficiency, Technological Forecasting and Social Change, 83, (170), (2014). 2014 6th International Conference on Computational Aspects of Social Networks (CASoN) Porto, Portugal 2014 6th International Conference on Computational Aspects of Social Networks IEEE , (2014). 978-1-4799-5940-2 978-1-4799-5939-6 Saoussen Aouay, Salma Jamoussi, Faiez Gargouri and Ajith Abraham Modeling dynamics of social networks: A survey , (2014). 49 54 6920421 , 10.1109/CASoN.2014.6920421 http://ieeexplore.ieee.org/document/6920421/ 2014 International Conference on Data Science and Advanced Analytics (DSAA) Shanghai, China 2014 International Conference on Data Science and Advanced Analytics (DSAA) IEEE , (2014). 978-1-4799-6991-3 Sooyoung Oh, Zhen Lei, Wang-Chien Lee and John Yen Recommending missing citations for newly granted patents , (2014). 442 448 7058110 , 10.1109/DSAA.2014.7058110 http://ieeexplore.ieee.org/document/7058110/
- A D Medus and C O Dorso, Memory effects induce structure in social networks with activity-driven agents, Journal of Statistical Mechanics: Theory and Experiment, 2014, 9, (P09009), (2014).
- George Tita, P. Jeffrey Brantingham, Aram Galstyan and Yoon-Sik Cho, Latent self-exciting point process model for spatial-temporal networks, Discrete and Continuous Dynamical Systems - Series B, 19, 5, (1335), (2014).
- Giuliano Andrea Pagani and Marco Aiello, Power grid complex network evolutions for the smart grid, Physica A: Statistical Mechanics and its Applications, 396, (248), (2014).
- JOSE LUGO-MARTINEZ and PREDRAG RADIVOJAC, Generalized graphlet kernels for probabilistic inference in sparse graphs, Network Science, 10.1017/nws.2014.14, 2, 02, (254-276), (2014).
- Keman Huang, Yushun Fan and Wei Tan, Recommendation in an Evolving Service Ecosystem Based on Network Prediction, IEEE Transactions on Automation Science and Engineering, 11, 3, (906), (2014). 2014 IEEE 30th International Conference on Data Engineering (ICDE) Chicago, IL, USA 2014 IEEE 30th International Conference on Data Engineering IEEE , (2014). 978-1-4799-2555-1 Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung and Jae-Gil Lee LinkSCAN*: Overlapping community detection using the link-space transformation , (2014). 292 303 6816659 , 10.1109/ICDE.2014.6816659 http://ieeexplore.ieee.org/document/6816659/ 2014 IEEE International Conference on Big Data (Big Data) Washington, DC, USA 2014 IEEE International Conference on Big Data (Big Data) IEEE , (2014). 978-1-4799-5666-1 Jinseok Kim, Jana Diesner, Heejun Kim, Amirhossein Aleyasen and Hwan-Min Kim Why name ambiguity resolution matters for scholarly big data research , (2014). 1 6 7004345 , 10.1109/BigData.2014.7004345 http://ieeexplore.ieee.org/document/7004345/
- Yanfeng Zhang, Qixin Gao, Lixin Gao and Cuirong Wang, Maiter: An Asynchronous Graph Processing Framework for Delta-Based Accumulative Iterative Computation, IEEE Transactions on Parallel and Distributed Systems, 25, 8, (2091), (2014).
- Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng and Xing Xie, Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data, International Journal of Distributed Sensor Networks, 10, 2, (461780), (2014). 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS) Bangalore, India 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS) IEEE , (2014). 978-1-4799-3635-9 T. Jaya Lakshmi and S. Durga Bhavani Heterogeneous link prediction based on multi relational community information , (2014). 1 4 6734932 , 10.1109/COMSNETS.2014.6734932 http://ieeexplore.ieee.org/document/6734932/
- Erick Stattner and Martine Collard, Matching of communities and frequent conceptual links, Social Network Analysis and Mining, 4, 1, (2014).
- L. Becchetti, L. Bergamini, U. M. Colesanti, L. Filipponi, Ginseppe Persiano and A. Vitaletti, A lightweight privacy preserving SMS-based recommendation system for mobile users, Knowledge and Information Systems, 40, 1, (49), (2014).
- Amin Javari, Joobin Gharibshah and Mahdi Jalili, Recommender systems based on collaborative filtering and resource allocation, Social Network Analysis and Mining, 4, 1, (2014).
- Li Weigang, Edans F. O. Sandes, Jianya Zheng, Alba C. M. A. de Melo and Lorna Uden, Querying dynamic communities in online social networks, Journal of Zhejiang University SCIENCE C, 15, 2, (81), (2014).
- Catherine A. Bliss, Morgan R. Frank, Christopher M. Danforth and Peter Sheridan Dodds, An evolutionary algorithm approach to link prediction in dynamic social networks, Journal of Computational Science, 5, 5, (750), (2014). 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS) Bangalore, India 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS) IEEE , (2014). 978-1-4799-3635-9 Ramasuri Narayanam, Dinesh Garg and Hemank Lamba Discovering signature of social networks with application to community detection , (2014). 1 7 6734901 , 10.1109/COMSNETS.2014.6734901 http://ieeexplore.ieee.org/document/6734901/
- Richong Zhang and Yongyi Mao, Trust Prediction via Belief Propagation, ACM Transactions on Information Systems, 32, 3, (1), (2014).
- Haibo Hu, Jinli Guo, Xuan Liu and Xiaofan Wang, A generalized theory of preferential linking, Physica A: Statistical Mechanics and its Applications, 10.1016/j.physa.2014.08.026, 415, (544-556), (2014).
- Fenhua Li, Jing He, Guangyan Huang, Yanchun Zhang and Yong Shi, RETRACTED: A Clustering-based Link Prediction Method in Social Networks, Procedia Computer Science, 29, (432), (2014).
- Xue Zhang, Xiaojie Wang, Chengli Zhao, Dongyun Yi and Zheng Xie, Degree-corrected stochastic block models and reliability in networks, Physica A: Statistical Mechanics and its Applications, 393, (553), (2014). 2014 IEEE International Conference on Big Data (Big Data) Washington, DC, USA 2014 IEEE International Conference on Big Data (Big Data) IEEE , (2014). 978-1-4799-5666-1 Jiazhen Nian, Shan Jiang and Yan Zhang HBGSim: A structural similarity measurement over heterogeneous big graphs , (2014). 31 38 7004465 , 10.1109/BigData.2014.7004465 http://ieeexplore.ieee.org/document/7004465/ 2014 IEEE Joint Intelligence and Security Informatics Conference (JISIC) The Hague, Netherlands 2014 IEEE Joint Intelligence and Security Informatics Conference IEEE , (2014). 978-1-4799-6364-5 978-1-4799-6363-8 Bisharat Rasool Memon and Uffe Kock Wiil Predicting Links in Multi-relational Networks , (2014). 107 114 6975561 , 10.1109/JISIC.2014.25 http://ieeexplore.ieee.org/document/6975561/ Jianzhong Li, X. Sean Wang, Minos Garofalakis, Ian Soboroff, Torsten Suel and Min Wang the 23rd ACM International Conference CIKM '14 Shanghai, China Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2014). 9781450325981 , 10.1145/2661829 20141107100516 http://dl.acm.org/citation.cfm?doid=2661829 Jiliang Tang, Xia Hu, Yi Chang and Huan Liu Predictability of Distrust with Interaction Data , (2014). 181 190 , 10.1145/2661829.2661988 20141107100517 http://dl.acm.org/citation.cfm?doid=2661829.2661988
- Bin Chen, Huijun Wang, Ying Ding and David Wild, Semantic Breakthrough in Drug Discovery, Synthesis Lectures on the Semantic Web: Theory and Technology, 4, 2, (1), (2014).
- Charu Aggarwal and Karthik Subbian, Evolutionary Network Analysis, ACM Computing Surveys, 47, 1, (1), (2014). 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) China 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) IEEE , (2014). 978-1-4799-5877-1 Yu Liu, Bin Wu, Bai Wang and Guanchen Li SDHM: A hybrid model for spammer detection in Weibo , (2014). 942 947 6921699 , 10.1109/ASONAM.2014.6921699 http://ieeexplore.ieee.org/document/6921699/
- Ming Yang, William H. Hsu and Surya Teja Kallumadi, Predictive Analytics of Social Networks, Emerging Methods in Predictive Analytics, 10.4018/978-1-4666-5063-3.ch013, (297-333)
- Kan Li and Yin Pang, A unified community detection algorithm in complex network, Neurocomputing, 130, (36), (2014). Jianzhong Li, X. Sean Wang, Minos Garofalakis, Ian Soboroff, Torsten Suel and Min Wang the 23rd ACM International Conference CIKM '14 Shanghai, China Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2014). 9781450325981 , 10.1145/2661829 20141107100516 http://dl.acm.org/citation.cfm?doid=2661829 Yang Liu, Songhua Xu and Lian Duan Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining , (2014). 1649 1658 , 10.1145/2661829.2661916 20141107100519 http://dl.acm.org/citation.cfm?doid=2661829.2661916
- Xuzhen Zhu, Hui Tian, Shimin Cai, Junming Huang and Tao Zhou, Predicting missing links via significant paths, EPL (Europhysics Letters), 106, 1, (18008), (2014).
- Yuan Wen, Yun Liu and Wei Cao, A Network-based Recommendation Algorithm via Improved Similarity Model, Information Technology Journal, 13, 5, (978), (2014).
- Bin Liang, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru and Kuo Zhang, Searching for people to follow in social networks, Expert Systems with Applications, 41, 16, (7455), (2014).
- , Semisupervised Classification Through the Bag-of-Paths Group Betweenness, IEEE Transactions on Neural Networks and Learning Systems, 25, 6, (1173), (2014).
- Chanhyun Kang, Andrea Pugliese, John Grant and V. S. Subrahmanian, STUN: querying spatio-temporal uncertain (social) networks, Social Network Analysis and Mining, 4, 1, (2014).
- Onur Küçüktunç, Erik Saule, Kamer Kaya and Ümit V. Çatalyürek, Diversifying Citation Recommendations, ACM Transactions on Intelligent Systems and Technology, 5, 4, (1), (2014). 2014 IEEE International Conference on Data Mining Workshop (ICDMW) Shenzhen, China 2014 IEEE International Conference on Data Mining Workshop IEEE , (2014). 978-1-4799-4274-9 978-1-4799-4275-6 Yang Chen, Ke-Jia Chen and Yun Li A Link Prediction Method That Can Learn from Network Dynamics , (2014). 549 553 7022644 , 10.1109/ICDMW.2014.12 http://ieeexplore.ieee.org/document/7022644/ 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Warsaw, Poland 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) IEEE , (2014). 978-1-4799-4143-8 Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Wenliang Huang and Jun Li A Link Prediction Approach for Item Recommendation with Complex Number , (2014). 205 212 6927544 , 10.1109/WI-IAT.2014.35 http://ieeexplore.ieee.org/document/6927544/ 2014 IEEE International Conference on Orange Technologies (ICOT) Xi'an, China 2014 International Conference on Orange Technologies IEEE , (2014). 978-1-4799-6284-6 Bo Wang, Yingjun Sun, Cheng Tang and Yang Liu A visualization toolkit for online social network propagation and influence analysis with content features , (2014). 129 132 6956616 , 10.1109/ICOT.2014.6956616 http://ieeexplore.ieee.org/document/6956616/
- D. Sharma, U. Sharma and Sharma Kumar Khatr, An Experimental Comparison of the Link Prediction Techniques in Social Networks, International Journal of Modeling and Optimization, 4, 1, (21), (2014).
- , Entity Resolution on Multiple Relations, Innovative Techniques and Applications of Entity Resolution, 10.4018/978-1-4666-5198-2.ch006, (123-139)
- Wei Zeng, An Zeng, Hao Liu, Ming-Sheng Shang, Yi-Cheng Zhang and Jérémie Bourdon, Similarity from Multi-Dimensional Scaling: Solving the Accuracy and Diversity Dilemma in Information Filtering, PLoS ONE, 9, 10, (e111005), (2014).
- Laurie Grieshober and Rachael Hageman Blair, Evaluating performance of link prediction in scale-free evolving networks and a Facebook community, Social Network Analysis and Mining, 4, 1, (2014).
- Kevin S. Xu and Alfred O. Hero, Dynamic Stochastic Blockmodels for Time-Evolving Social Networks, IEEE Journal of Selected Topics in Signal Processing, 8, 4, (552), (2014). 2014 IEEE International Conference on Systems, Man and Cybernetics - SMC San Diego, CA, USA 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) IEEE , (2014). 978-1-4799-3840-7 Yelei Lu and Parham Aarabi Extracting deep social relationships from photos , (2014). 453 456 6973949 , 10.1109/SMC.2014.6973949 http://ieeexplore.ieee.org/document/6973949/
- Huan Ma, Zaixin Lu, Deying Li, Yuqing Zhu, Lidan Fan and Weili Wu, Mining hidden links in social networks to achieve equilibrium, Theoretical Computer Science, 556, (13), (2014).
- Xuzhen Zhu, Hui Tian and Shimin Cai, Predicting missing links via effective paths, Physica A: Statistical Mechanics and its Applications, 413, (515), (2014).
- Jennifer Xu, Knowledge Discovery and Data Mining, Computing Handbook, Third Edition, 10.1201/b16768-23, (19-1-19-22), (2014). 2014 International Conference on Management of e-Commerce and e-Government (ICMeCG) Shanghai, China 2014 International Conference on Management of e-Commerce and e-Government IEEE , (2014). 978-1-4799-6543-4 Tingli Wang and Guoqiong Liao A Review of Link Prediction in Social Networks , (2014). 147 150 7046907 , 10.1109/ICMeCG.2014.38 http://ieeexplore.ieee.org/document/7046907/ 2014 11th Web Information System and Application Conference (WISA) Tianjin, China 2014 11th Web Information System and Application Conference IEEE , (2014). 978-1-4799-5726-2 978-1-4799-5727-9 Zhang Yu, Gao Kening, Li Feng and Yu Ge A New Method for Link Prediction Using Various Features in Social Networks , (2014). 144 147 7058003 , 10.1109/WISA.2014.34 http://ieeexplore.ieee.org/document/7058003/ 2014 IEEE 38th International Computer Software and Applications Conference Workshops (COMPSACW) Vasteras, Sweden 2014 IEEE 38th International Computer Software and Applications Conference Workshops IEEE , (2014). 978-1-4799-3578-9 Ying Guo and Xi Chen Cross-Domain Scientific Collaborations Prediction with Citation Information , (2014). 229 233 6903134 , 10.1109/COMPSACW.2014.127 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6903134 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI) Budapest 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI) IEEE , (2014). 978-1-4799-5338-7 Buket Kaya and Mustafa Poyraz Link prediction in weighted symptom networks , (2014). 273 278 7028688 , 10.1109/CINTI.2014.7028688 http://ieeexplore.ieee.org/document/7028688/ 2014 IEEE International Conference on Big Data (Big Data) Washington, DC, USA 2014 IEEE International Conference on Big Data (Big Data) IEEE , (2014). 978-1-4799-5666-1 Tsunghan Wu, Sheau-Harn Yu, Wanjiun Liao and Cheng-Shang Chang Temporal bipartite projection and link prediction for online social networks , (2014). 52 59 7004444 , 10.1109/BigData.2014.7004444 http://ieeexplore.ieee.org/document/7004444/ Unknown the 14th International Conference i-KNOW '14 Graz, Austria Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW '14 Knowledge Technologies and Data-driven Business ACM Press New York, New York, USA , (2014). 9781450327695 , 10.1145/2637748 20141107100516 http://dl.acm.org/citation.cfm?doid=2637748 Bjoern-Elmar Macek, Martin Atzmueller and Gerd Stumme Predicting the stability of user interaction ties in Twitter , (2014). 1 8 , 10.1145/2637748.2638428 20141107100516 http://dl.acm.org/citation.cfm?doid=2637748.2638428 2014 International Conference on Behavior, Economic and Social Computing (BESC) Shanghai, China 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014) IEEE , (2014). 978-1-4799-6980-7 Han Siyao and Xu Yan Friend recommendation of microblog in classification framework: Using multiple social behavior features , (2014). 1 6 7059527 , 10.1109/BESC.2014.7059527 http://ieeexplore.ieee.org/document/7059527/
- Xuzhen Zhu, Hui Tian and Shimin Cai, Personalized recommendation with corrected similarity, Journal of Statistical Mechanics: Theory and Experiment, 2014, 7, (P07004), (2014).
- Zhaoquan
Yuan, Jitao Sang, Changsheng
Xu and Yan Liu, A Unified
Framework of Latent Feature
Learning in Social Media , IEEE Transactions on Multimedia, 16, 6, (1624), (2014). - Gamage Ganegoda, JianXin Wang, Fang-Xiang Wu and Min Li, Prediction of disease genes using tissue-specified gene-gene network, BMC Systems Biology, 8, Suppl 3, (S3), (2014).
- Kaimin Wei, Xiao Liang and Ke Xu, A Survey of Social-Aware Routing Protocols in Delay Tolerant Networks: Applications, Taxonomy and Design-Related Issues, IEEE Communications Surveys & Tutorials, 16, 1, (556), (2014).
- Xiaobing Xiong, Gang Zhou, Xiang Niu, Yongzhong Huang and Ke Xu, Remodeling the network for microgroup detection on microblog, Knowledge and Information Systems, 39, 3, (643), (2014). Jianzhong Li, X. Sean Wang, Minos Garofalakis, Ian Soboroff, Torsten Suel and Min Wang the 23rd ACM International Conference CIKM '14 Shanghai, China Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14 Conference on Information and Knowledge Management ACM Press New York, New York, USA , (2014). 9781450325981 , 10.1145/2661829 20141107100516 http://dl.acm.org/citation.cfm?doid=2661829 Feruz Davletov, Ali Selman Aydin and Ali Cakmak High Impact Academic Paper Prediction Using Temporal and Topological Features , (2014). 491 498 , 10.1145/2661829.2662066 20141107100517 http://dl.acm.org/citation.cfm?doid=2661829.2662066
- Xiangrong Wang, Evangelos Pournaras, Robert E. Kooij and Piet Van Mieghem, Improving robustness of complex networks via the effective graph resistance, The European Physical Journal B, 87, 9, (2014).
- Yuan Wen, Yun Liu, Zhen-Jiang Zhang, Fei Xiong and Wei Cao, Compare two community-based personalized information recommendation algorithms, Physica A: Statistical Mechanics and its Applications, 398, (199), (2014). 2014 IEEE International Conference on Healthcare Informatics (ICHI) Verona, Italy 2014 IEEE International Conference on Healthcare Informatics IEEE , (2014). 978-1-4799-5701-9 Haodong Yang and Christopher C. Yang Drug-Drug Interactions Detection from Online Heterogeneous Healthcare Networks , (2014). 7 16 7052464 , 10.1109/ICHI.2014.9 http://ieeexplore.ieee.org/document/7052464/ 2014 Brazilian Conference on Intelligent Systems (BRACIS) Sao Paulo, Brazil 2014 Brazilian Conference on Intelligent Systems IEEE , (2014). Marcius Armada de Oliveira, Kate Cerqueira Revoredo and Jose Eduardo Ochoa Luna Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic , (2014). 372 377 6984859 , 10.1109/BRACIS.2014.73 http://ieeexplore.ieee.org/document/6984859/
- Erjia Yan and Raf Guns, Predicting and recommending collaborations: An author-, institution-, and country-level analysis, Journal of Informetrics, 10.1016/j.joi.2014.01.008, 8, 2, (295-309), (2014). 2014 IEEE International Conference on Data Mining (ICDM) Shenzhen, China 2014 IEEE International Conference on Data Mining IEEE , (2014). 978-1-4799-4302-9 978-1-4799-4303-6 Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Cam, Xifeng Yan and Jiawei Han Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks , (2014). 1127 1132 7023458 , 10.1109/ICDM.2014.85 http://ieeexplore.ieee.org/document/7023458/ 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE) Chengdu, China 2014 IEEE 17th International Conference on Computational Science and Engineering IEEE , (2014). 978-1-4799-7981-3 978-1-4799-7980-6 Yin Li, Xuebing Zhao, Hao Tang, Qi Wang and Sanfeng Zhang Dynamics Nature and Link Prediction Methods in Opportunistic Networks , (2014). 1362 1368 7023769 , 10.1109/CSE.2014.259 http://ieeexplore.ieee.org/document/7023769/
- Michael Stearns, Siddhartha Nambiar, Alexander Nikolaev, Alexander Semenov and Scott McIntosh, Towards evaluating and enhancing the reach of online health forums for smoking cessation, Network Modeling Analysis in Health Informatics and Bioinformatics, 3, 1, (2014).
- Buket Kaya and Mustafa Poyraz, Supervised link prediction in symptom networks with evolving case, Measurement, 56, (231), (2014).
- Jinseok Kim, Heejun Kim and Jana Diesner, The Impact of Name Ambiguity on Properties of Coauthorship Networks, Journal of Information Science Theory and Practice, 10.1633/JISTaP.2014.2.2.1, 2, 2, (6-15), (2014).
- İsmail Güneş, Zehra Çataltepe and Şule Gündüz-Öğüdücü, GA-TVRC-Het: genetic algorithm enhanced time varying relational classifier for evolving heterogeneous networks, Data Mining and Knowledge Discovery, 28, 3, (670), (2014).
- Michael Fire, Dima Kagan, Aviad Elyashar and Yuval Elovici, Friend or foe? Fake profile identification in online social networks, Social Network Analysis and Mining, 4, 1, (2014). 2014 IEEE International Conference on Information Reuse and Integration (IRI) Redwood City, CA, USA Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014) IEEE , (2014). 978-1-4799-5880-1 Chun-Hao Fu, Cheng-Shang Chang and Duan-Shin Lee A proximity measure for link prediction in social user-item networks , (2014). 710 717 7051959 , 10.1109/IRI.2014.7051959 http://ieeexplore.ieee.org/document/7051959/ 2014 IEEE 30th International Conference on Data Engineering (ICDE) Chicago, IL, USA 2014 IEEE 30th International Conference on Data Engineering IEEE , (2014). 978-1-4799-2555-1 Samamon Khemmarat and Lixin Gao Fast top-k path-based relevance query on massive graphs , (2014). 316 327 6816661 , 10.1109/ICDE.2014.6816661 http://ieeexplore.ieee.org/document/6816661/ 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) China 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) IEEE , (2014). 978-1-4799-5877-1 Dongjin Song and David A. Meyer A model of consistent node types in signed directed social networks , (2014). 72 80 6921562 , 10.1109/ASONAM.2014.6921562 http://ieeexplore.ieee.org/document/6921562/ 2014 IEEE International Conference on Data Mining (ICDM) Shenzhen, China 2014 IEEE International Conference on Data Mining IEEE , (2014). 978-1-4799-4302-9 978-1-4799-4303-6 Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li and Aidong Zhang LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data , (2014). 300 309 7023347 , 10.1109/ICDM.2014.22 http://ieeexplore.ieee.org/document/7023347/ 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Warsaw, Poland 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) IEEE , (2014). 978-1-4799-4143-8 Zhifeng Wu and Yaohui Li Link Prediction Based on Multi-steps Resource Allocation , (2014). 355 360 6927565 , 10.1109/WI-IAT.2014.56 http://ieeexplore.ieee.org/document/6927565/ 2013 International Computer Science and Engineering Conference (ICSEC) Nakorn Pathom, Thailand 2013 International Computer Science and Engineering Conference (ICSEC) IEEE , (2013). 978-1-4673-5324-3 978-1-4673-5322-9 Atikhom Siri and Trasapong Thaiupathump Analysis model for measuring information flow in social networks , (2013). 348 353 6694807 , 10.1109/ICSEC.2013.6694807 http://ieeexplore.ieee.org/document/6694807/
- Heung-Nam Kim and Abdulmotaleb El Saddik, Exploring social tagging for personalized community recommendations, User Modeling and User-Adapted Interaction, 23, 2-3, (249), (2013).
- Huan Ma, Zaixin Lu, Lidan Fan, Weili Wu, Deying Li and Yuqing Zhu, A Nash Equilibrium Based Algorithm for Mining Hidden Links in Social Networks, Combinatorial Optimization and Applications, 10.1007/978-3-319-03780-6_13, (141-152), (2013).
- Peter Csermely, Tamás Korcsmáros, Huba J.M. Kiss, Gábor London and Ruth Nussinov, Structure and dynamics of molecular networks: A novel paradigm of drug discovery, Pharmacology & Therapeutics, 10.1016/j.pharmthera.2013.01.016, 138, 3, (333-408), (2013).
- Jorge Valverde-Rebaza and Alneu de Andrade Lopes, Exploiting behaviors of communities of twitter users for link prediction, Social Network Analysis and Mining, 3, 4, (1063), (2013). 2013 9th International Conference on Natural Computation (ICNC) Shenyang, China 2013 Ninth International Conference on Natural Computation (ICNC) IEEE , (2013). 978-1-4673-4714-3 Ning Wu, Jianping Li, Enming Dong and Zheng Xie A prediction method enhanced by the degree of nodes , (2013). 1515 1519 6818221 , 10.1109/ICNC.2013.6818221 http://ieeexplore.ieee.org/document/6818221/ 2013 IEEE International Conference on High Performance Computing and Communications (HPCC) & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (EUC) Zhangjiajie, China 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing IEEE , (2013). 978-0-7695-5088-6 Zhaoyan Jin, Quanyuan Wu, Dianxi Shi and Huining Yan Random Walk Based Inverse Influence Research in Online Social Networks , (2013). 2206 2213 6832199 , 10.1109/HPCC.and.EUC.2013.316 http://ieeexplore.ieee.org/document/6832199/ 2013 Ninth International Conference on Computational Intelligence and Security (CIS) Emeishan 614201, China 2013 Ninth International Conference on Computational Intelligence and Security IEEE , (2013). 978-1-4799-2549-0 978-1-4799-2548-3 Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv and Guoping Hu Random Walk with Pre-filtering for Social Link Prediction , (2013). 139 143 6746372 , 10.1109/CIS.2013.36 http://ieeexplore.ieee.org/document/6746372/
- Johan H. Koskinen, Garry L. Robins, Peng Wang and Philippa E. Pattison, Bayesian analysis for partially observed network data, missing ties, attributes and actors, Social Networks, 35, 4, (514), (2013).
- Fangjian Guo, Zimo Yang and Tao Zhou, Predicting link directions via a recursive subgraph-based ranking, Physica A: Statistical Mechanics and its Applications, 392, 16, (3402), (2013).
- Cuneyt Gurcan Akcora, Barbara Carminati and Elena Ferrari, User similarities on social networks, Social Network Analysis and Mining, 3, 3, (475), (2013).
- , References, Analyzing the Social Web, 10.1016/B978-0-12-405531-5.00029-8, (249-253), (2013).
- Sajid Yousuf Bhat and Muhammad Abulaish, Analysis and mining of online social networks: emerging trends and challenges, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3, 6, (408-444), (2013).
- David F. Nettleton, Data mining of social networks represented as graphs, Computer Science Review, 7, (1), (2013).
- Xin Li and Hsinchun Chen, Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach, Decision Support Systems, 54, 2, (880), (2013). 2013 IEEE International Conference on High Performance Computing and Communications (HPCC) & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (EUC) Zhangjiajie, China 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing IEEE , (2013). 978-0-7695-5088-6 Junjie Tong, E. Haihong, Meina Song, Junde Song and Yanfei Li Web Service QoS Prediction under Sparse Data via Local Link Prediction , (2013). 2285 2290 6832211 , 10.1109/HPCC.and.EUC.2013.328 http://ieeexplore.ieee.org/document/6832211/ 2013 IEEE Seventh International Conference on Research Challenges in Information Science (RCIS) Paris, France IEEE 7th International Conference on Research Challenges in Information Science (RCIS) IEEE , (2013). 978-1-4673-2914-9 978-1-4673-2912-5 Erick Stattner and Martine Collard Towards a hybrid algorithm for extracting maximal frequent conceptual links in social networks , (2013). 1 8 6577712 , 10.1109/RCIS.2013.6577712 http://ieeexplore.ieee.org/document/6577712/
- Guilherme T. Valente, Marcio L. Acencio, Cesar Martins, Ney Lemke and Peter Csermely, The Development of a Universal In Silico Predictor of Protein-Protein Interactions, PLoS ONE, 8, 5, (e65587), (2013).
- Emőke-Ágnes Horvát, Jitao David Zhang, Stefan Uhlmann, Özgür Sahin, Katharina Anna Zweig and Szabolcs Semsey, A Network-Based Method to Assess the Statistical Significance of Mild Co-Regulation Effects, PLoS ONE, 8, 9, (e73413), (2013). 2013 International Conference on Cloud Computing and Big Data (CloudCom-Asia) Fuzhou, China 2013 International Conference on Cloud Computing and Big Data IEEE , (2013). 978-1-4799-2830-9 978-1-4799-2829-3 Zhenfeng Zhan, Yuzhong Chen and Yingbin Fu Analyzing User Relationships in Weibo Networks: A Bayesian Network Approach , (2013). 502 508 6821040 , 10.1109/CLOUDCOM-ASIA.2013.43 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6821040
- Zhang Junchao, Chen Junjie, Jiancheng Song and Rong-Xiang Zhao, Monte Carlo Based Personalized PageRank on Dynamic Networks, International Journal of Distributed Sensor Networks, 9, 9, (829804), (2013). 2013 International Conference on Cloud and Green Computing (CGC) Karlsruhe, Germany 2013 International Conference on Cloud and Green Computing IEEE , (2013). 978-0-7695-5114-2 Annalisa Socievole, Floriano De Rango and Salvatore Marano Link Prediction in Human Contact Networks Using Online Social Ties , (2013). 305 312 6686047 , 10.1109/CGC.2013.55 http://ieeexplore.ieee.org/document/6686047/ 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Singapore, Singapore 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) IEEE , (2013). 978-1-4673-5895-8 Hassan Khosravi, Ali Bozorgkhan and Oliver Schulte Transaction-based link strength prediction in a social network , (2013). 191 198 6597236 , 10.1109/CIDM.2013.6597236 http://ieeexplore.ieee.org/document/6597236/
- Aurel Cami, Shannon Manzi, Alana Arnold, Ben Y. Reis and Miguel Angel Medina, Pharmacointeraction Network Models Predict Unknown Drug-Drug Interactions, PLoS ONE, 8, 4, (e61468), (2013).
- Charles Perez, Babiga Birregah and Marc Lemercier, A smartphone-based online social network trust evaluation system, Social Network Analysis and Mining, 3, 4, (1293), (2013).
- José Eduardo Ochoa Luna, Kate Revoredo and Fabio Gagliardi Cozman, Link prediction using a probabilistic description logic, Journal of the Brazilian Computer Society, 19, 4, (397), (2013). 2013 6th International Symposium on Resilient Control Systems (ISRCS) San Francisco, CA, USA 2013 6th International Symposium on Resilient Control Systems (ISRCS) IEEE , (2013). 978-1-4799-0503-4 Joshua Neil, Benjamin Uphoff, Curtis Hash and Curtis Storlie Towards improved detection of attackers in computer networks: New edges, fast updating, and host agents , (2013). 218 224 6623779 , 10.1109/ISRCS.2013.6623779 http://ieeexplore.ieee.org/document/6623779/
- Xiaohan Wang, Zhaoqun Chen, Pengfei Liu and Yuantao Gu, Edge Balance Ratio: Power Law From Vertices to Edges in Directed Complex Network, IEEE Journal of Selected Topics in Signal Processing, 7, 2, (184), (2013).
- Chunxia Yin and Tao Chu, Improving Personal Product Recommendation via Friendships’ Expansion, Journal of Computer and Communications, 01, 05, (1), (2013).
- Ron Eyal, Avi Rosenfeld, Sigal Sina and Sarit Kraus, Predicting and Identifying Missing Node Information in Social Networks, ACM Transactions on Knowledge Discovery from Data, 8, 3, (1), (2013). 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom) Beijing, China 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing IEEE , (2013). 978-0-7695-5046-6 Fan Tang, Bofeng Zhang, Jianxing Zheng and Yajun Gu Friend Recommendation Based on the Similarity of Micro-blog User Model , (2013). 2200 2204 6682425 , 10.1109/GreenCom-iThings-CPSCom.2013.415 http://ieeexplore.ieee.org/document/6682425/ 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Bangkok, Thailand 2013 IEEE International Conference on Industrial Engineering and Engineering Management IEEE , (2013). 978-1-4799-0986-5 A. Siri and T. Thaiupathump Measuring the performance of viral marketing based on the dynamic behavior of social networks , (2013). 432 436 6962448 , 10.1109/IEEM.2013.6962448 http://ieeexplore.ieee.org/document/6962448/ 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC) Shenyang, China 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control IEEE , (2013). 978-0-7695-5122-7 Jianwei Ma, Honghui Chen and Hao xu Recommending Items via Interest-Similar Cluster Identification in Online Social Networks , (2013). 331 334 6840465 , 10.1109/IMCCC.2013.76 http://ieeexplore.ieee.org/document/6840465/
- Yu Wang and Lin Gao, An Edge-based Clustering Algorithm to Detect Social Circles in Ego Networks, Journal of Computers, 8, 10, (2013).
- Majdi Rawashdeh, Heung-Nam Kim, Jihad Mohamad Alja’am and Abdulmotaleb El Saddik, Folksonomy link prediction based on a tripartite graph for tag recommendation, Journal of Intelligent Information Systems, 40, 2, (307), (2013).
- Haifeng Liu, Zheng Hu, Hamed Haddadi and Hui Tian, Hidden link prediction based on node centrality and weak ties, EPL (Europhysics Letters), 101, 1, (18004), (2013). 2013 IEEE International Conference on High Performance Computing and Communications (HPCC) & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (EUC) Zhangjiajie, China 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing IEEE , (2013). 978-0-7695-5088-6 Hui Luo, Bin Guo, Zhiwenyu, Zhu Wang and Yun Feng Friendship Prediction Based on the Fusion of Topology and Geographical Features in LBSN , (2013). 2224 2230 6832202 , 10.1109/HPCC.and.EUC.2013.319 http://ieeexplore.ieee.org/document/6832202/
- U. Martin Singh-Blom, Nagarajan Natarajan, Ambuj Tewari, John O. Woods, Inderjit S. Dhillon, Edward M. Marcotte and Patrick Aloy, Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses, PLoS ONE, 8, 5, (e58977), (2013).
- Panagiotis Symeonidis, Nantia Iakovidou, Nikolaos Mantas and Yannis Manolopoulos, From biological to social networks: Link prediction based on multi-way spectral clustering, Data & Knowledge Engineering, 87, (226), (2013).
- Yi Cen, Rentao Gu and Yuefeng Ji, Sign Inference for Dynamic Signed Networks via Dictionary Learning, Journal of Applied Mathematics, 2013, (1), (2013).
- Alysson Bolognesi Prado and Maria Cecília Calani Baranauskas, Addressing structural and dynamic features of scientific social networks through the lens of Actor-Network Theory, Social Network Analysis and Mining, 3, 4, (1263), (2013).
- Rong-Hua Li, Jianquan Liu, Jeffrey Xu Yu, Hanxiong Chen and Hiroyuki Kitagawa, Co-occurrence prediction in a large location-based social network, Frontiers of Computer Science, 7, 2, (185), (2013).
- Emmanouil Amolochitis, Ioannis T. Christou, Zheng-Hua Tan and Ramjee Prasad, A heuristic hierarchical scheme for academic search and retrieval, Information Processing & Management, 49, 6, (1326), (2013).
- Susan Bastani, Ahmad Khalili Jafarabad and Mohammad Hossein Fazel Zarandi, Fuzzy Models for Link Prediction in Social Networks, International Journal of Intelligent Systems, 28, 8, (768), (2013).
- N. Contractor, Some assembly required: leveraging Web science to understand and enable team assembly, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371, 1987, (20120385), (2013).
- Sho Tsugawa, Hiroyuki Ohsaki and Peter Csermely, Effectiveness of Link Prediction for Face-to-Face Behavioral Networks, PLoS ONE, 8, 12, (e81727), (2013). 2013 20th Working Conference on Reverse Engineering (WCRE) Koblenz, Germany 2013 20th Working Conference on Reverse Engineering (WCRE) IEEE , (2013). 978-1-4799-2931-3 Raghavan Komondoor, Indrajit Bhattacharya, Deepak D'Souza and Sachin Kale Using relationships for matching textual domain models with existing code , (2013). 371 380 6671312 , 10.1109/WCRE.2013.6671312 http://ieeexplore.ieee.org/document/6671312/
- Hongki Kim, Kil-Soo Suh and Un-Kon Lee, Effects of collaborative online shopping on shopping experience through social and relational perspectives, Information & Management, 50, 4, (169), (2013).
- Panagiotis Symeonidis and Nikolaos Mantas, Spectral clustering for link prediction in social networks with positive and negative links, Social Network Analysis and Mining, 3, 4, (1433), (2013).
- Idrissa Sarr, Rokia Missaoui and Romain Lalande, Group disappearance in social networks with communities, Social Network Analysis and Mining, 3, 3, (651), (2013).
- Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato and Timothy Ravasi, From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks, Scientific Reports, 3, 1, (2013).
- Zhan Shi and Andrew B. Whinston, Network Structure and Observational Learning: Evidence from a Location-Based Social Network, Journal of Management Information Systems, 30, 2, (185), (2013). 2013 IEEE International Conference on Web Services (ICWS) Santa Clara, CA, USA 2013 IEEE 20th International Conference on Web Services IEEE , (2013). 978-0-7695-5025-1 978-0-7695-5025-1 Keman Huang, Yushun Fan, Wei Tan and Xiang Li Service Recommendation in an Evolving Ecosystem: A Link Prediction Approach , (2013). 507 514 6649618 , 10.1109/ICWS.2013.74 http://ieeexplore.ieee.org/document/6649618/
- BAOMIN XU, TINGLIN XIN, YUNFENG WANG and YANPIN ZHAO, LOCAL RANDOM WALK WITH DISTANCE MEASURE, Modern Physics Letters B, 27, 08, (1350055), (2013).
- Marcin Budka, Krzysztof Juszczyszyn, Katarzyna Musial and Anna Musial, Molecular model of dynamic social network based on e-mail communication, Social Network Analysis and Mining, 3, 3, (543), (2013).
- Gregorio Alanis-Lobato, Carlo Vittorio Cannistraci and Timothy Ravasi, Exploitation of genetic interaction network topology for the prediction of epistatic behavior, Genomics, 102, 4, (202), (2013).
- Christopher C. Yang, Xuning Tang, Qizhi Dai, Haodong Yang and Ling Jiang, Identifying Implicit and Explicit Relationships Through User Activities in Social Media, International Journal of Electronic Commerce, 18, 2, (73), (2013).
- JING WANG and LILI RONG, SIMILARITY INDEX BASED ON THE INFORMATION OF NEIGHBOR NODES FOR LINK PREDICTION OF COMPLEX NETWORK, Modern Physics Letters B, 27, 06, (1350039), (2013).
- Arun Sundararajan, Foster Provost, Gal Oestreicher-Singer and Sinan Aral, Research Commentary—Information in Digital, Economic, and Social Networks, Information Systems Research, 24, 4, (883), (2013). 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW) TX, USA 2013 IEEE 13th International Conference on Data Mining Workshops IEEE , (2013). 978-1-4799-3142-2 978-1-4799-3143-9 Chongjing Sun, Philip S. Yu, Xiangnan Kong and Yan Fu Privacy Preserving Social Network Publication against Mutual Friend Attacks , (2013). 883 890 6754014 , 10.1109/ICDMW.2013.71 http://ieeexplore.ieee.org/document/6754014/ 2013 Sixth International Conference on Advanced Computational Intelligence (ICACI) Hangzhou, China 2013 Sixth International Conference on Advanced Computational Intelligence (ICACI) IEEE , (2013). 978-1-4673-6343-3 978-1-4673-6341-9 Zhengzhong Zeng, Ke-Jia Chen, Shaobo Zhang and Haijin Zhang A link prediction approach using semi-supervised learning in dynamic networks , (2013). 276 280 6748516 , 10.1109/ICACI.2013.6748516 http://ieeexplore.ieee.org/document/6748516/
- CHEN-XI SHAO, HUI-LING DOU, RONG-XU YANG and BING-HONG WANG, ZERO NODES EFFECT: VALID LINK PREDICTION IN SPARSE NETWORKS, International Journal of Modern Physics B, 27, 12, (1350052), (2013).
- Minwoo Chae, Minsoo Kang and Yongdai Kim, Documents recommendation using large citation data, Journal of the Korean Data and Information Science Society, 24, 5, (999), (2013). 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Atlanta, GA, USA 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) IEEE , (2013). 978-0-7695-5145-6 978-1-4799-2902-3 Ziming Feng, Feng Cong, Kailong Chen and Yong Yu An Empirical Study of User Behaviors on Pinterest Social Network , (2013). 402 409 6690043 , 10.1109/WI-IAT.2013.57 http://ieeexplore.ieee.org/document/6690043/
- Zhen Liu, Jia-Lin He, Komal Kapoor, Jaideep Srivastava and Peter Csermely, Correlations between Community Structure and Link Formation in Complex Networks, PLoS ONE, 8, 9, (e72908), (2013).
- Onur Küçüktunç, Kamer Kaya, Erik Saule and Ümit V. Çatalyürek, Fast recommendation on bibliographic networks with sparse-matrix ordering and partitioning, Social Network Analysis and Mining, 10.1007/s13278-013-0106-z, 3, 4, (1097-1111), (2013). 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Niigata, Japan 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) IEEE , (2013). 978-1-4799-0174-6 Tao Zhang, Gongzhu Hu and Qi Liao Analysis of offense tactics of basketball games using link prediction , (2013). 207 212 6607842 , 10.1109/ICIS.2013.6607842 http://ieeexplore.ieee.org/document/6607842/ 2013 29th IEEE International Conference on Data Engineering (ICDE 2013) Brisbane, QLD 2013 IEEE 29th International Conference on Data Engineering (ICDE) IEEE , (2013). 978-1-4673-4910-9 978-1-4673-4909-3 978-1-4673-4908-6 Jiwon Seo, S. Guo and M. S. Lam SociaLite: Datalog extensions for efficient social network analysis , (2013). 278 289 6544832 , 10.1109/ICDE.2013.6544832 http://ieeexplore.ieee.org/document/6544832/
- Hsinchun Chen, Dorothy Denning, Nancy Roberts, Catherine A. Larson, Ximing Yu and Chun-Neng Huang, Revealing the Hidden World of the Dark Web, Intelligent Systems for Security Informatics, 10.1016/B978-0-12-404702-0.00001-X, (1-28), (2013). 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE) Sydney, Australia 2013 IEEE 16th International Conference on Computational Science and Engineering IEEE , (2013). 978-0-7695-5096-1 Fei Sun, Jun Zhang, Lai Tu and Benxiong Huang What We Use to Predict a Mobile-Phone Users' Status in Campus? , (2013). 1238 1241 6755366 , 10.1109/CSE.2013.184 http://ieeexplore.ieee.org/document/6755366/
- Mucheol Kim and Sang Oh Park, Group affinity based social trust model for an intelligent movie recommender system, Multimedia Tools and Applications, 64, 2, (505), (2013).
- Erick Stattner and Martine Collard, From Frequent Features to Frequent Social Links, International Journal of Information System Modeling and Design, 10.4018/jismd.2013070104, 4, 3, (76-98), (2013). 2013 IEEE International Conference on Data Mining (ICDM) Dallas, TX, USA 2013 IEEE 13th International Conference on Data Mining IEEE , (2013). 978-0-7695-5108-1 Abir De, Niloy Ganguly and Soumen Chakrabarti Discriminative Link Prediction Using Local Links, Node Features and Community Structure , (2013). 1009 1018 6729590 , 10.1109/ICDM.2013.68 http://ieeexplore.ieee.org/document/6729590/ 2013 Eleventh Annual Conference on Privacy, Security and Trust (PST) Tarragona, Spain 2013 Eleventh Annual Conference on Privacy, Security and Trust IEEE , (2013). 978-1-4673-5839-2 Esther Palomar, Almudena Alcaide, Elisenda Molina and Yan Zhang Coalitional games for the management of anonymous access in online social networks , (2013). 1 10 6596030 , 10.1109/PST.2013.6596030 http://ieeexplore.ieee.org/document/6596030/
- Katarzyna Musial, Marcin Budka and Krzysztof Juszczyszyn, Creation and growth of online social network, World Wide Web, 16, 4, (421), (2013).
- Bowen Yan and Steve Gregory, Finding missing edges in networks based on their community structure, Physical Review E, 85, 5, (2012). 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) Istanbul 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE , (2012). 978-1-4673-2497-7 978-0-7695-4799-2 B. K. Samanthula and Wei Jiang Structural and Message Based Private Friend Recommendation , (2012). 684 690 6425690 , 10.1109/ASONAM.2012.114 http://ieeexplore.ieee.org/document/6425690/ 2012 International Conference on Social Informatics (SocialInformatics) Alexandria, VA, USA 2012 International Conference on Social Informatics IEEE , (2012). 978-1-4799-0234-7 978-0-7695-5015-2 Hao Wu, Vikram Sorathia and Viktor K. Prasanna Predict Whom One Will Follow: Followee Recommendation in Microblogs , (2012). 260 264 6542449 , 10.1109/SocialInformatics.2012.74 http://ieeexplore.ieee.org/document/6542449/
- Chung-Wei Hang and Munindar P. Singh, Generalized framework for personalized recommendations in agent networks, Autonomous Agents and Multi-Agent Systems, 25, 3, (475), (2012). 2012 IEEE 12th International Conference on Data Mining (ICDM) Brussels, Belgium 2012 IEEE 12th International Conference on Data Mining IEEE , (2012). 978-1-4673-4649-8 978-0-7695-4905-7 Yang Yang, Nitesh Chawla, Yizhou Sun and Jiawei Hani Predicting Links in Multi-relational and Heterogeneous Networks , (2012). 755 764 6413854 , 10.1109/ICDM.2012.144 http://ieeexplore.ieee.org/document/6413854/
- Jiming Liu, Bo Yang, William K Cheung and Guojing Yang, Malaria transmission modelling: a network perspective, Infectious Diseases of Poverty, 1, 1, (11), (2012).
- Linyuan Lü, Matúš Medo, Chi Ho Yeung, Yi-Cheng Zhang, Zi-Ke Zhang and Tao Zhou, Recommender systems, Physics Reports, 10.1016/j.physrep.2012.02.006, 519, 1, (1-49), (2012).
- Emöke-Ágnes Horvát, Michael Hanselmann, Fred A. Hamprecht, Katharina A. Zweig and Sergio Gómez, One Plus One Makes Three (for Social Networks), PLoS ONE, 7, 4, (e34740), (2012).
- Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara and Angela Ricciardello, A novel measure of edge centrality in social networks, Knowledge-Based Systems, 30, (136), (2012). 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) Sao Carlos, Brazil 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) IEEE , (2012). 978-1-4673-4794-5 978-1-4673-4793-8 978-1-4673-4792-1 Radoslaw Michalski, Piotr Brodka, Przemyslaw Kazienko and Krzysztof Juszczyszyn Quantifying social network dynamics , (2012). 69 74 6412380 , 10.1109/CASoN.2012.6412380 http://ieeexplore.ieee.org/document/6412380/
- Yingzi Jin, Ching-Yung Lin, Yutaka Matsuo and Mitsuru Ishizuka, Mining dynamic social networks from public news articles for company value prediction, Social Network Analysis and Mining, 2, 3, (217), (2012). 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) Santander, Spain 2012 IEEE International Workshop on Machine Learning for Signal Processing IEEE , (2012). 978-1-4673-1026-0 978-1-4673-1024-6 978-1-4673-1025-3 David Kofoed Wind and Morten Morup Link prediction in weighted networks , (2012). 1 6 6349745 , 10.1109/MLSP.2012.6349745 http://ieeexplore.ieee.org/document/6349745/
- Junichiro Mori, Yuya Kajikawa, Hisashi Kashima and Ichiro Sakata, Machine learning approach for finding business partners and building reciprocal relationships, Expert Systems with Applications, 39, 12, (10402), (2012).
- Yu-Xiao Zhu, Linyuan Lü, Qian-Ming Zhang and Tao Zhou, Uncovering missing links with cold ends, Physica A: Statistical Mechanics and its Applications, 391, 22, (5769), (2012).
- Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin and Xia Wang, Actively learning to infer social ties, Data Mining and Knowledge Discovery, 25, 2, (270), (2012). 2012 International Conference on Privacy, Security, Risk and Trust (PASSAT) Amsterdam 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing IEEE , (2012). 978-1-4673-5638-1 978-0-7695-4848-7 Y. Altshuler, N. Aharony, M. Fire, Y. Elovici and Alex Pentland Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data , (2012). 969 974 6406354 , 10.1109/SocialCom-PASSAT.2012.102 http://ieeexplore.ieee.org/document/6406354/
- J. Jin, K. Xu, N. Xiong, Y. Liu and G. Li, Multi-index evaluation algorithm based on principal component analysis for node importance in complex networks, IET Networks, 1, 3, (108), (2012). 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane) Brisbane, Australia The 2012 International Joint Conference on Neural Networks (IJCNN) IEEE , (2012). 978-1-4673-1490-9 978-1-4673-1488-6 978-1-4673-1489-3 Takayuki Kamei, Keiko Ono, Masahito Kumano and Masahiro Kimura Predicting missing links in social networks with hierarchical dirichlet processes , (2012). 1 8 6252619 , 10.1109/IJCNN.2012.6252619 http://ieeexplore.ieee.org/document/6252619/
- Mucheol Kim, Jiwan Seo, Sanghyun Noh and Sangyong Han, Identity management‐based social trust model for mediating information sharing and privacy enhancement, Security and Communication Networks, 5, 8, (887-897), (2011). 2012 IEEE Thirteenth International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) San Francisco, CA, USA 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) IEEE , (2012). 978-1-4673-1239-4 978-1-4673-1238-7 978-1-4673-1237-0 Mohamed-Haykel Zayani, Vincent Gauthier and Djamal Zeghlache Improving link prediction in intermittently connected wireless networks by considering link and proximity stabilities , (2012). 1 10 6263701 , 10.1109/WoWMoM.2012.6263701 http://ieeexplore.ieee.org/document/6263701/
- Samah Al-Oufi, Heung-Nam Kim and Abdulmotaleb El Saddik, A group trust metric for identifying people of trust in online social networks, Expert Systems with Applications, 39, 18, (13173), (2012).
- Natthakan Iam-On, Tossapon Boongeon, Simon Garrett and Chris Price, A Link-Based Cluster Ensemble Approach for Categorical Data Clustering, IEEE Transactions on Knowledge and Data Engineering, 24, 3, (413), (2012). 2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC) Austin, TX, USA 2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC) IEEE , (2012). 978-1-4673-4883-6 978-1-4673-4881-2 978-1-4673-4882-9 Jianwei Niu, Jing Peng, Chao Tong and Wanjiun Liao Evolution of disconnected components in social networks: Patterns and a generative model , (2012). 305 313 6407772 , 10.1109/PCCC.2012.6407772 http://ieeexplore.ieee.org/document/6407772/
- Taiki Miyanishi, Kazuhiro Seki and Kuniaki Uehara, Object Ranking in Evolutional Networks via Link Prediction, Transactions of the Japanese Society for Artificial Intelligence, 27, 3, (223), (2012).
- Canh Hao Nguyen and H. Mamitsuka, Latent Feature Kernels for Link Prediction on Sparse Graphs, IEEE Transactions on Neural Networks and Learning Systems, 23, 11, (1793), (2012). 2012 International Conference on Privacy, Security, Risk and Trust (PASSAT) Amsterdam, Netherlands 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing IEEE , (2012). 978-1-4673-5638-1 978-0-7695-4848-7 Krishna Janakiraman and Sara Motahari How Are You Related? Predicting the Type of a Social Relationship Using Call Graph Data , (2012). 111 116 6406275 , 10.1109/SocialCom-PASSAT.2012.79 http://ieeexplore.ieee.org/document/6406275/
- Greg Morrison, L. Mahadevan and Yamir Moreno, Discovering Communities through Friendship, PLoS ONE, 7, 7, (e38704), (2012).
- Pasquale De Meo, Emilio Ferrara and Giacomo Fiumara, Finding Similar Users in Facebook, Social Networking and Community Behavior Modeling, 10.4018/978-1-61350-444-4.ch017, (304-323), (2012). 2012 International Conference on Social Informatics (SocialInformatics) Alexandria, VA, USA 2012 International Conference on Social Informatics IEEE , (2012). 978-1-4799-0234-7 978-0-7695-5015-2 Payam Siyari, Hamid R. Rabiee, Mostafa Salehi and Motahareh Eslami Mehdiabadi Network Reconstruction under Compressive Sensing , (2012). 19 25 6542417 , 10.1109/SocialInformatics.2012.84 http://ieeexplore.ieee.org/document/6542417/ 2012 International Conference on Social Informatics (SocialInformatics) Alexandria, VA, USA 2012 International Conference on Social Informatics IEEE , (2012). 978-1-4799-0234-7 978-0-7695-5015-2 Folke Mitzlaff and Gerd Stumme Ranking Given Names: Algorithms and Evaluation Paradigms , (2012). 185 191 6542439 , 10.1109/SocialInformatics.2012.65 http://ieeexplore.ieee.org/document/6542439/
- Matthew O Jackson, Tomas Rodriguez-Barraquer and Xu Tan, Social Capital and Social Quilts: Network Patterns of Favor Exchange, American Economic Review, 102, 5, (1857), (2012).
- Luca Maria Aiello, Alain Barrat, Ciro Cattuto, Rossano Schifanella and Giancarlo Ruffo, Link creation and information spreading over social and communication ties in an interest-based online social network, EPJ Data Science, 1, 1, (2012).
- Ana Cristina Kochem Vendramin, Anelise Munaretto, Myriam Regattieri Delgado and Aline Carneiro Viana, GrAnt: Inferring best forwarders from complex networks’ dynamics through a greedy Ant Colony Optimization, Computer Networks, 56, 3, (997), (2012). 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane) Brisbane, Australia The 2012 International Joint Conference on Neural Networks (IJCNN) IEEE , (2012). 978-1-4673-1490-9 978-1-4673-1488-6 978-1-4673-1489-3 Paulo Ricardo da Silva Soares and Ricardo Bastos Cavalcante Prudencio Time Series Based Link Prediction , (2012). 1 7 6252471 , 10.1109/IJCNN.2012.6252471 http://ieeexplore.ieee.org/document/6252471/
- Erick Stattner, Martine Collard and Nicolas Vidot, Network-Based Modeling in Epidemiology, International Journal of Information System Modeling and Design, 10.4018/jismd.2012070103, 3, 3, (46-65), (2012).
- Yanfeng Zhang, Qixin Gao, Lixin Gao and Cuirong Wang, iMapReduce: A Distributed Computing Framework for Iterative Computation, Journal of Grid Computing, 10, 1, (47), (2012).
- Qiang Shen and Tossapon Boongoen, Social Network Inspired Approach to Intelligent Monitoring of Intelligence Data, Social Network Mining, Analysis, and Research Trends, 10.4018/978-1-61350-513-7.ch006, (79-100), (2012). 2012 IEEE 12th International Conference on Data Mining (ICDM) Brussels, Belgium 2012 IEEE 12th International Conference on Data Mining IEEE , (2012). 978-1-4673-4649-8 978-0-7695-4905-7 Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao and Huanhuan Cao Link Prediction and Recommendation across Heterogeneous Social Networks , (2012). 181 190 6413904 , 10.1109/ICDM.2012.140 http://ieeexplore.ieee.org/document/6413904/
- Bowen Yan and Steve Gregory, Detecting community structure in networks using edge prediction methods, Journal of Statistical Mechanics: Theory and Experiment, 2012, 09, (P09008), (2012). 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) Istanbul 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE , (2012). 978-1-4673-2497-7 978-0-7695-4799-2 O. Kucuktunc, K. Kaya, E. Saule and U. V. Catalyurek Fast Recommendation on Bibliographic Networks , (2012). 480 487 6425721 , 10.1109/ASONAM.2012.82 http://ieeexplore.ieee.org/document/6425721/ 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC 2012) Limassol, Cyprus 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC) IEEE , (2012). 978-1-4577-1379-8 978-1-4577-1378-1 978-1-4577-1377-4 Mohamed-Haykel Zayani, Vincent Gauthier, Ines Slama and Djamal Zeghlache Tracking topology dynamicity for link prediction in intermittently connected wireless networks , (2012). 469 474 6314249 , 10.1109/IWCMC.2012.6314249 http://ieeexplore.ieee.org/document/6314249/
- An Zeng and Giulio Cimini, Removing spurious interactions in complex networks, Physical Review E, 85, 3, (2012). 2012 Sixth International Conference on Research Challenges in Information Science (RCIS) Valencia, Spain 2012 Sixth International Conference on Research Challenges in Information Science (RCIS) IEEE , (2012). 978-1-4577-1938-7 978-1-4577-1936-3 978-1-4577-1937-0 Erick Stattner and Martine Collard How to extract frequent links with frequent itemsets in social networks? , (2012). 1 10 6240432 , 10.1109/RCIS.2012.6240432 http://ieeexplore.ieee.org/document/6240432/ 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems (CCIS) Hangzhou, China 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems IEEE , (2012). 978-1-4673-1857-0 978-1-4673-1855-6 Xiao Yang, Zhen Tian, Huayang Cui and Zhaoxin Zhang Link prediction on evolving network using tensor-based node similarity , (2012). 154 158 6664387 , 10.1109/CCIS.2012.6664387 http://ieeexplore.ieee.org/document/6664387/ 2012 International Conference on Privacy, Security, Risk and Trust (PASSAT) Amsterdam, Netherlands 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing IEEE , (2012). 978-1-4673-5638-1 978-0-7695-4848-7 Ted Herman, Mauricio Monsalve, Sriram Pemmaraju, Phillip Polgreen, Alberto Maria Segre, Deepti Sharma and Geb Thomas Inferring Realistic Intra-hospital Contact Networks Using Link Prediction and Computer Logins , (2012). 572 578 6406310 , 10.1109/SocialCom-PASSAT.2012.113 http://ieeexplore.ieee.org/document/6406310/ 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) Sao Carlos, Brazil 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) IEEE , (2012). 978-1-4673-4794-5 978-1-4673-4793-8 978-1-4673-4792-1 Jorge Valverde-Rebaza and Alneu de Andrade Lopes Structural link prediction using community information on Twitter , (2012). 132 137 6412391 , 10.1109/CASoN.2012.6412391 http://ieeexplore.ieee.org/document/6412391/
- Francisco Cantú and Héctor Ceballos, A Framework for Fostering Multidisciplinary Research Collaboration and Scientific Networking within University Environs, Knowledge Management Handbook, 10.1201/b12285-13, (207-217), (2012). 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC Seoul, Korea (South) 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) IEEE , (2012). 978-1-4673-1714-6 978-1-4673-1713-9 978-1-4673-1712-2 Feng Liu, Bingquan Liu, Xiaolong Wang, Ming Liu and Baoxun Wang Features for link prediction in social networks: A comprehensive study , (2012). 1706 1711 6377983 , 10.1109/ICSMC.2012.6377983 http://ieeexplore.ieee.org/document/6377983/ 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) Monticello, IL, USA 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) IEEE , (2012). 978-1-4673-4539-2 978-1-4673-4537-8 978-1-4673-4538-5 Felix Ming Fai Wong and Peter Marbach Similarity-based network formation , (2012). 394 399 6483245 , 10.1109/Allerton.2012.6483245 http://ieeexplore.ieee.org/document/6483245/
- Dongyuan Lu, Qiudan Li and Stephen Shaoyi Liao, A graph-based action network framework to identify prestigious members through member's prestige evolution, Decision Support Systems, 53, 1, (44), (2012).
- Kazem Jahanbakhsh, Valerie King and Gholamali C. Shoja, Predicting missing contacts in mobile social networks, Pervasive and Mobile Computing, 8, 5, (698), (2012). 2012 International Conference on Privacy, Security, Risk and Trust (PASSAT) Amsterdam, Netherlands 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing IEEE , (2012). 978-1-4673-5638-1 978-0-7695-4848-7 Marcin Budka, Katarzyna Musial and Krzysztof Juszczyszyn Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy , (2012). 21 30 6406266 , 10.1109/SocialCom-PASSAT.2012.11 http://ieeexplore.ieee.org/document/6406266/
- Giorgos Kollias, Shahin Mohammadi and Ananth Grama, Network Similarity Decomposition (NSD): A Fast and Scalable Approach to Network Alignment, IEEE Transactions on Knowledge and Data Engineering, 24, 12, (2232), (2012). 2012 3rd International Workshop on Cognitive Information Processing (CIP) Baiona 2012 3rd International Workshop on Cognitive Information Processing (CIP) IEEE , (2012). 978-1-4673-1877-8 978-1-4673-1878-5 Tue Herlau, Morten Morup, Mikkel N. Schmidt and Lars Kai Hansen Detecting hierarchical structure in networks , (2012). 1 6 6232913 , 10.1109/CIP.2012.6232913 http://ieeexplore.ieee.org/document/6232913/
- Zheng Liang, Yan Jia, Bin Zhou and Baida Zhang, Topic Diffusion Behavior Tracking in Online Social Network, Communications and Information Processing, 10.1007/978-3-642-31968-6_86, (725-733), (2012). IEEE INFOCOM 2012 - IEEE Conference on Computer Communications Orlando, FL, USA 2012 Proceedings IEEE INFOCOM IEEE , (2012). 978-1-4673-0775-8 978-1-4673-0773-4 978-1-4673-0774-1 Felix Ming, Fai Wong and Peter Marbach Cosine-neighbourhood-refinement: Towards a robust network formation mechanism , (2012). 1710 1718 6195542 , 10.1109/INFCOM.2012.6195542 http://ieeexplore.ieee.org/document/6195542/ 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT 2012) Coimbatore 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12) IEEE , (2012). A. Sachan Countering terrorism through dark web analysis , (2012). 1 5 6396055 , 10.1109/ICCCNT.2012.6396055 http://ieeexplore.ieee.org/document/6396055/
- Atieh Mirshahvalad, Johan Lindholm, Mattias Derlén, Martin Rosvall and Alessandro Vespignani, Significant Communities in Large Sparse Networks, PLoS ONE, 7, 3, (e33721), (2012).
- Peter Grindrod, Desmond J. Higham and Mark C. Parsons, Bistability through Triadic Closure, Internet Mathematics, 8, 4, (402), (2012). 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) Istanbul 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE , (2012). 978-1-4673-2497-7 978-0-7695-4799-2 K. Juszczyszyn, A. Gonczarek, J. M. Tomczak, K. Musial and M. Budka A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks , (2012). 996 1001 6425629 , 10.1109/ASONAM.2012.173 http://ieeexplore.ieee.org/document/6425629/ 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) Istanbul 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE , (2012). 978-1-4673-2497-7 978-0-7695-4799-2 L. Y. Eugene and S-T D. Yuan Where's the Money? The Social Behavior of Investors in Facebook's Small World , (2012). 158 162 6425769 , 10.1109/ASONAM.2012.36 http://ieeexplore.ieee.org/document/6425769/ 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) Istanbul 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE , (2012). 978-1-4673-2497-7 978-0-7695-4799-2 A. Patidar, V. Agarwal and K. K. Bharadwaj Predicting Friends and Foes in Signed Networks Using Inductive Inference and Social Balance Theory , (2012). 384 388 6425735 , 10.1109/ASONAM.2012.69 http://ieeexplore.ieee.org/document/6425735/
- Chuang Liu and Wei-Xing Zhou, Heterogeneity in initial resource configurations improves a network-based hybrid recommendation algorithm, Physica A: Statistical Mechanics and its Applications, 391, 22, (5704), (2012).
- Qiang Shen and Tossapon Boongoen, Fuzzy Orders-of-Magnitude-Based Link Analysis for Qualitative Alias Detection, IEEE Transactions on Knowledge and Data Engineering, 10.1109/TKDE.2010.255, 24, 4, (649-664), (2012).
- Raf Guns, Christina Lioma and Birger Larsen, The tipping point: F-score as a function of the number of retrieved items, Information Processing & Management, 48, 6, (1171), (2012).
- Heung-Nam Kim, Abdulmotaleb El Saddik and Jin-Guk Jung, Leveraging personal photos to inferring friendships in social network services, Expert Systems with Applications, 39, 8, (6955), (2012).
- Jian Wang, Kaspars Berzins, Diana Hicks, Julia Melkers, Fang Xiao and Diogo Pinheiro, A boosted-trees method for name disambiguation, Scientometrics, 93, 2, (391), (2012). 2012 IEEE International Conference on Data Engineering Workshops (ICDEW) Arlington, VA, USA 2012 IEEE 28th International Conference on Data Engineering Workshops IEEE , (2012). 978-0-7695-4748-0 978-1-4673-1640-8 Arijit Khan, Vishwakarma Singh and Jian Wu Finding Skyline Nodes in Large Networks , (2012). 198 204 6313680 , 10.1109/ICDEW.2012.53 http://ieeexplore.ieee.org/document/6313680/
- Xiaojian Zhao, Jin Yuan, Guangda Li, Xiaoming Chen and Zhoujun Li, Relationship strength estimation for online social networks with the study on Facebook, Neurocomputing, 95, (89), (2012).
- Michael Farrugia, Neil Hurley, Diane Payne and Aaron Quigley, Social Network Construction in the Information Age, Social Network Mining, Analysis, and Research Trends, 10.4018/978-1-61350-513-7.ch009, (131-155), (2012). 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) Liverpool 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications IEEE , (2012). 978-1-4673-2172-3 978-0-7695-4745-9 C. Perez, B. Birregah and M. Lemercier The Multi-layer Imbrication for Data Leakage Prevention from Mobile Devices , (2012). 813 819 6296053 , 10.1109/TrustCom.2012.274 http://ieeexplore.ieee.org/document/6296053/ 2012 IEEE International Conference on Data Engineering (ICDE 2012) Arlington, VA, USA 2012 IEEE 28th International Conference on Data Engineering IEEE , (2012). 978-0-7695-4747-3 978-1-4673-0042-1 Walaa Eldin Moustafa, Amol Deshpande and Lise Getoor Ego-centric Graph Pattern Census , (2012). 234 245 6228087 , 10.1109/ICDE.2012.113 http://ieeexplore.ieee.org/document/6228087/
- Lauri Eronen, Petteri Hintsanen and Hannu Toivonen, Biomine: A Network-Structured Resource of Biological Entities for Link Prediction, Bisociative Knowledge Discovery, 10.1007/978-3-642-31830-6_26, (364-378), (2012).
- Yingzi Jin and Yutaka Matsuo, Dynamics and Evolutional Patterns of Social Networks, Social Network Mining, Analysis, and Research Trends, 10.4018/978-1-61350-513-7.ch010, (156-170), (2012). 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) Istanbul 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE , (2012). 978-1-4673-2497-7 978-0-7695-4799-2 M. Opuszko and J. Ruhland Classification Analysis in Complex Online Social Networks Using Semantic Web Technologies , (2012). 1032 1039 6425623 , 10.1109/ASONAM.2012.179 http://ieeexplore.ieee.org/document/6425623/ 2012 9th Web Information Systems and Applications Conference (WISA) Haikou, China 2012 Ninth Web Information Systems and Applications Conference IEEE , (2012). 978-1-4673-3054-1 Zhang Yu, Li Feng, Xu Bin, Gao Kening and Yu Ge Using Non-topological Node Attributes to Improve Results of Link Prediction in Social Networks , (2012). 141 146 6385200 , 10.1109/WISA.2012.21 http://ieeexplore.ieee.org/document/6385200/
- Bin Chen, Ying Ding, David J. Wild and Alexander Tropsha, Assessing Drug Target Association Using Semantic Linked Data, PLoS Computational Biology, 8, 7, (e1002574), (2012). 2011 IEEE Congress on Evolutionary Computation (CEC) New Orleans, LA, USA 2011 IEEE Congress of Evolutionary Computation (CEC) IEEE , (2011). 978-1-4244-7834-7 Jeff Naruchitparames, Mehmet Hadi Gunes and Sushil J. Louis Friend recommendations in social networks using genetic algorithms and network topology , (2011). 2207 2214 5949888 , 10.1109/CEC.2011.5949888 http://ieeexplore.ieee.org/document/5949888/ 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Michael Farrugia, Neil Hurley and Aaron Quigley SNAP: Towards a Validation of the Social Network Assembly Pipeline , (2011). 228 235 5992607 , 10.1109/ASONAM.2011.88 http://ieeexplore.ieee.org/document/5992607/ 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom) Boston, MA, USA 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing IEEE , (2011). 978-1-4577-1931-8 978-0-7695-4578-3 Justin Cheng, Daniel M. Romero, Brendan Meeder and Jon Kleinberg Predicting Reciprocity in Social Networks , (2011). 49 56 6113094 , 10.1109/PASSAT/SocialCom.2011.110 http://ieeexplore.ieee.org/document/6113094/ 2011 IEEE International Conference on Granular Computing (GrC-2011) Kaohsiung, Taiwan 2011 IEEE International Conference on Granular Computing IEEE , (2011). 978-1-4577-0371-3 978-1-4577-0372-0 Haisu Zhang, Liwei Huang, Deyi Li and Bojin Zheng There exist correlations between editing behaviors and hyperlinks structure in Wikipedia , (2011). 790 795 6122699 , 10.1109/GRC.2011.6122699 http://ieeexplore.ieee.org/document/6122699/ 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom) Boston, MA, USA 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing IEEE , (2011). 978-1-4577-1931-8 978-0-7695-4578-3 Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach and Yuval Elovici Link Prediction in Social Networks Using Computationally Efficient Topological Features , (2011). 73 80 6113097 , 10.1109/PASSAT/SocialCom.2011.20 http://ieeexplore.ieee.org/document/6113097/
- Meng Bai, Ke Hu and Yi Tang, Link prediction based on a semi-local similarity index, Chinese Physics B, 20, 12, (128902), (2011).
- Prantik Bhattacharyya, Ankush Garg and Shyhtsun Felix Wu, Analysis of user keyword similarity in online social networks, Social Network Analysis and Mining, 1, 3, (143), (2011). 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Kathy Macropol and Ambuj Singh Content-based Modeling and Prediction of Information Dissemination , (2011). 21 28 5992581 , 10.1109/ASONAM.2011.61 http://ieeexplore.ieee.org/document/5992581/ 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Jyi-Shane Liu and Ke-Chih Ning Applying Link Prediction to Ranking Candidates for High-Level Government Post , (2011). 145 152 5992574 , 10.1109/ASONAM.2011.54 http://ieeexplore.ieee.org/document/5992574/
- Zhen Liu, Qian-Ming Zhang, Linyuan Lü and Tao Zhou, Link prediction in complex networks: A local naïve Bayes model, EPL (Europhysics Letters), 96, 4, (48007), (2011).
- Katharina Zweig, Good versus optimal: Why network analytic methods need more systematic evaluation, Open Computer Science, 1, 1, (2011). 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Bi-Ru Dai, Chang-Yi Lee and Chih-Heng Chung A Framework of Recommendation System Based on Both Network Structure and Messages , (2011). 709 714 5992686 , 10.1109/ASONAM.2011.68 http://ieeexplore.ieee.org/document/5992686/
- S. Gualdi, M. Medo and Y.-C. Zhang, Influence, originality and similarity in directed acyclic graphs, EPL (Europhysics Letters), 96, 1, (18004), (2011).
- Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Masashi Shimbo, Hugues Bersini and Marco Saerens, Semi-supervised classification and betweenness computation on large, sparse, directed graphs, Pattern Recognition, 44, 6, (1212), (2011).
- Bowen Yan and Steve Gregory, Finding missing edges and communities in incomplete networks, Journal of Physics A: Mathematical and Theoretical, 44, 49, (495102), (2011). 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) Beijing, China 2011 IEEE International Workshop on Machine Learning for Signal Processing IEEE , (2011). 978-1-4577-1621-8 Toke Jansen Hansen, Morten Morup and Lars Kai Hansen Non-parametric co-clustering of large scale sparse bipartite networks on the GPU , (2011). 1 6 6064611 , 10.1109/MLSP.2011.6064611 http://ieeexplore.ieee.org/document/6064611/
- Zhongming Ma, Gautam Pant and Olivia R.L. Sheng, Mining competitor relationships from online news: A network-based approach, Electronic Commerce Research and Applications, 10, 4, (418), (2011). 2011 Annual SRII Global Conference (SRII) San Jose, CA, USA 2011 Annual SRII Global Conference IEEE , (2011). 978-1-61284-415-2 Maria-Ribera Sancho, Antonio Canabate, Albert Botella and Josep Casanovas e-Catalunya: An e-Government Service for Virtual Communities of Practice , (2011). 707 715 5958151 , 10.1109/SRII.2011.77 http://ieeexplore.ieee.org/document/5958151/
- Greg Morrison and L. Mahadevan, Asymmetric network connectivity using weighted harmonic averages, EPL (Europhysics Letters), 93, 4, (40002), (2011).
- Yutaka Kabutoya, Kyosuke Nishida and Ko Fujimura, Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks, Web Technologies and Applications, 10.1007/978-3-642-20291-9_33, (321-326), (2011).
- Rumi Ghosh and Kristina Lerman, Parameterized centrality metric for network analysis, Physical Review E, 83, 6, (2011).
- Linyuan Lü and Weiping Liu, Information filtering via preferential diffusion, Physical Review E, 83, 6, (2011). IEEE INFOCOM 2011 - IEEE Conference on Computer Communications Shanghai, China 2011 Proceedings IEEE INFOCOM IEEE , (2011). 978-1-4244-9919-9 Wei Dong, Vacha Dave, Lili Qiu and Yin Zhang Secure friend discovery in mobile social networks , (2011). 1647 1655 5934958 , 10.1109/INFCOM.2011.5934958 http://ieeexplore.ieee.org/document/5934958/ 2011 International Conference on Internet Technology and Applications (iTAP) Wuhan, China 2011 International Conference on Internet Technology and Applications IEEE , (2011). 978-1-4244-7253-6 Shawana Jamil, Azam Khan, Zahid Halim and A. Rauf Baig Weighted MUSE for Frequent Sub-Graph Pattern Finding in Uncertain DBLP Data , (2011). 1 6 6006415 , 10.1109/ITAP.2011.6006415 http://ieeexplore.ieee.org/document/6006415/
- Troy Raeder, Omar Lizardo, David Hachen and Nitesh V. Chawla, Predictors of short-term decay of cell phone contacts in a large scale communication network, Social Networks, 33, 4, (245), (2011).
- TOSSAPON BOONGOEN, QIANG SHEN and CHRIS PRICE, FUZZY QUALITATIVE LINK ANALYSIS FOR ACADEMIC PERFORMANCE EVALUATION, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10.1142/S0218488511007131, 19, 03, (559-585), (2011). 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal and Jiawei Han Co-author Relationship Prediction in Heterogeneous Bibliographic Networks , (2011). 121 128 5992571 , 10.1109/ASONAM.2011.112 http://ieeexplore.ieee.org/document/5992571/ 2011 IEEE International Conference on Multimedia and Expo (ICME) Barcelona, Spain 2011 IEEE International Conference on Multimedia and Expo IEEE , (2011). 978-1-61284-348-3 Prateek Joshi and C. -C. Jay Kuo Security and privacy in online social networks: A survey , (2011). 1 6 6012166 , 10.1109/ICME.2011.6012166 http://ieeexplore.ieee.org/document/6012166/
- chunsheng fang, Anca Ralescu and Mojtaba Kohram, Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction, IEEE Intelligent Systems, 26, 4, (48), (2011). 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Atlanta, GA, USA 2011 IEEE International Conference on Bioinformatics and Biomedicine IEEE , (2011). 978-1-4577-1799-4 Jayashima Katukuri, Ying Xiey, Vijay V. Raghavan and Ashish Gupta Supervised Link Discovery on Large-Scale Biomedical Concept Networks , (2011). 562 568 6120502 , 10.1109/BIBM.2011.92 http://ieeexplore.ieee.org/document/6120502/
- Natthakan Iam-On, Tossapon Boongoen, Simon Garrett and Chris Price, A Link-Based Approach to the Cluster Ensemble Problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 12, (2396), (2011).
- Hai Zhuge, Semantic linking through spaces for cyber-physical-socio intelligence: A methodology, Artificial Intelligence, 10.1016/j.artint.2010.09.009, 175, 5-6, (988-1019), (2011). IEEE INFOCOM 2011 - IEEE Conference on Computer Communications Shanghai, China 2011 Proceedings IEEE INFOCOM IEEE , (2011). 978-1-4244-9919-9 Felix Ming, Fai Wong and Peter Marbach “Who Are Your Friends?” — A Simple Mechanism that achieves perfect network formation , (2011). 566 570 5935227 , 10.1109/INFCOM.2011.5935227 http://ieeexplore.ieee.org/document/5935227/ Integration (IRI) Las Vegas, NV, USA 2011 IEEE International Conference on Information Reuse & Integration IEEE , (2011). 978-1-4577-0964-7 Cuneyt Gurcan Akcora, Barbara Carminati and Elena Ferrari Network and profile based measures for user similarities on social networks , (2011). 292 298 6009562 , 10.1109/IRI.2011.6009562 http://ieeexplore.ieee.org/document/6009562/
- A. Cami, A. Arnold, S. Manzi and B. Reis, Predicting Adverse Drug Events Using Pharmacological Network Models, Science Translational Medicine, 3, 114, (114ra127), (2011).
- Vinícius P. Freire and Daniel R. Figueiredo, Ranking in collaboration networks using a group based metric, Journal of the Brazilian Computer Society, 17, 4, (255), (2011).
- Linyuan Lü and Tao Zhou, Link prediction in complex networks: A survey, Physica A: Statistical Mechanics and its Applications, 390, 6, (1150), (2011). 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Lyon, France 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology IEEE , (2011). 978-1-4577-1373-6 Krzysztof Juszczyszyn and Wojciech Frys Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network , (2011). 102 105 6040816 , 10.1109/WI-IAT.2011.21 http://ieeexplore.ieee.org/document/6040816/
- Michael Braun and André Bonfrer, Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes, Marketing Science, 30, 3, (513), (2011).
- , Volume Removed - Publisher's Disclaimer, Energy Procedia, 10.1016/S1876-6102(14)00454-8, 13, (1-10380), (2011).
- Yicong Liang, Qing Li and Tieyun Qian, Finding Relevant Papers Based on Citation Relations, Web-Age Information Management, 10.1007/978-3-642-23535-1_35, (403-414), (2011).
- DAVID F. NETTLETON and VICENÇ TORRA, DATA PRIVACY FOR SIMPLY ANONYMIZED SOCIAL NETWORK LOGS REPRESENTED AS GRAPHS – CONSIDERATIONS FOR GRAPH ALTERATION OPERATIONS, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 19, supp01, (107), (2011).
- Wenbin Tang, Honglei Zhuang and Jie Tang, Learning to Infer Social Ties in Large Networks, Machine Learning and Knowledge Discovery in Databases, 10.1007/978-3-642-23808-6_25, (381-397), (2011). 2011 IEEE Fifth International Conference on Research Challenges in Information Science (RCIS) Gosier, France 2011 FIFTH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE IEEE , (2011). 978-1-4244-8670-0 Erick Stattner and Nicolas Vidot Social network analysis in epidemiology: Current trends and perspectives , (2011). 1 11 6006866 , 10.1109/RCIS.2011.6006866 http://ieeexplore.ieee.org/document/6006866/ 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Yuxiao Dong, Qing Ke, Bai Wang and Bin Wu Link Prediction Based on Local Information , (2011). 382 386 5992628 , 10.1109/ASONAM.2011.43 http://ieeexplore.ieee.org/document/5992628/
- Ilham Esslimani, Armelle Brun and Anne Boyer, Densifying a behavioral recommender system by social networks link prediction methods, Social Network Analysis and Mining, 1, 3, (159), (2011).
- Li Ding, Dana Steil, Brandon Dixon, Allen Parrish and David Brown, A relation context oriented approach to identify strong ties in social networks, Knowledge-Based Systems, 10.1016/j.knosys.2011.05.006, 24, 8, (1187-1195), (2011). 2011 IEEE International Technology Management Conference (ITMC) San Jose, CA, USA First International Technology Management Conference IEEE , (2011). 978-1-61284-951-5 Junichiro Mori, Yuya Kajikawa and Hisashi Kashima Finding business partners and building reciprocal relationships - A machine learning approach , (2011). 1069 1073 5996005 , 10.1109/ITMC.2011.5996005 http://ieeexplore.ieee.org/document/5996005/
- Jian Chen, Yanyan Han, Deshi Li and Jugen Nie, Link Prediction and Route Selection Based on Channel State Detection in UASNs, International Journal of Distributed Sensor Networks, 7, 1, (939864), (2011). 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom) Boston, MA, USA 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing IEEE , (2011). 978-1-4577-1931-8 978-0-7695-4578-3 Krzysztof Juszczyszyn, Katarzyna Musial and Marcin Budka Link Prediction Based on Subgraph Evolution in Dynamic Social Networks , (2011). 27 34 6113091 , 10.1109/PASSAT/SocialCom.2011.15 http://ieeexplore.ieee.org/document/6113091/ 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) Kaohsiung City, Taiwan 2011 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2011). 978-1-61284-758-0 Krzysztof Juszczyszyn, Marcin Budka and Katarzyna Musial The Dynamic Structural Patterns of Social Networks Based on Triad Transitions , (2011). 581 586 5992640 , 10.1109/ASONAM.2011.50 http://ieeexplore.ieee.org/document/5992640/
- Xiaobing Xiong, Xiang Niu, Gang Zhou, Ke Xu and Yongzhong Huang, Microgroup Mining on TSina via Network Structure and User Attribute, Advanced Data Mining and Applications, 10.1007/978-3-642-25856-5_11, (138-151), (2011). 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011) Shanghai 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) IEEE , (2011). 978-1-61284-180-9 978-1-61284-181-6 Yuxiao Dong, Qing Ke, Jun Rao and Bin Wu Predicting missing links via local feature of common neighbors , (2011). 1038 1042 6019642 , 10.1109/FSKD.2011.6019642 http://ieeexplore.ieee.org/document/6019642/
- Andreas Thor, Philip Anderson, Louiqa Raschid, Saket Navlakha, Barna Saha, Samir Khuller and Xiao-Ning Zhang, Link Prediction for Annotation Graphs Using Graph Summarization, The Semantic Web – ISWC 2011, 10.1007/978-3-642-25073-6_45, (714-729), (2011). 2010 Sixth International Conference on Information Assurance and Security (IAS) Atlanta, GA, USA 2010 Sixth International Conference on Information Assurance and Security IEEE , (2010). 978-1-4244-7407-3 Vaclav Snasel, Zdenek Horak and Ajith Abraham Link suggestions in terrorists networks using Semi Discrete Decomposition , (2010). 335 337 5604077 , 10.1109/ISIAS.2010.5604077 http://ieeexplore.ieee.org/document/5604077/
- Haizheng Zhang, Baojun Qiu, Kristinka Ivanova, C. Lee Giles, Henry C. Foley and John Yen, Locality and attachedness‐based temporal social network growth dynamics analysis: A case study of evolving nanotechnology scientific collaboration networks, Journal of the American Society for Information Science and Technology, 61, 5, (964-977), (2010). 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010) Odense, Denmark 2010 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2010). 978-1-4244-7787-6 Nesserine Benchettara, Rushed Kanawati and Céline Rouveirol Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks , (2010). 326 330 5562752 , 10.1109/ASONAM.2010.87 http://ieeexplore.ieee.org/document/5562752/
- Lei Tang and Huan Liu, Community Detection and Mining in Social Media, Synthesis Lectures on Data Mining and Knowledge Discovery, 2, 1, (1), (2010). 2010 IEEE Second International Conference on Social Computing (SocialCom) Minneapolis, MN, USA 2010 IEEE Second International Conference on Social Computing IEEE , (2010). 978-1-4244-8439-3 Baojun Qiu, Kristinka Ivanova, John Yen and Peng Liu Behavior Evolution and Event-Driven Growth Dynamics in Social Networks , (2010). 217 224 5590443 , 10.1109/SocialCom.2010.38 http://ieeexplore.ieee.org/document/5590443/
- Xin Fu, Tossapon Boongoen and Qiang Shen, EVIDENCE DIRECTED GENERATION OF PLAUSIBLE CRIME SCENARIOS WITH IDENTITY RESOLUTION, Applied Artificial Intelligence, 24, 4, (253), (2010).
- WEI ZENG, MING-SHENG SHANG, QIAN-MING ZHANG, LINYUAN LÜ and TAO ZHOU, CAN DISSIMILAR USERS CONTRIBUTE TO ACCURACY AND DIVERSITY OF PERSONALIZED RECOMMENDATION?, International Journal of Modern Physics C, 21, 10, (1217), (2010). 2010 IEEE International Conference on Intelligence and Security Informatics Vancouver, BC, Canada 2010 IEEE International Conference on Intelligence and Security Informatics IEEE , (2010). 978-1-4244-6444-9 Yulei Zhang, Shuo Zeng, Chun-Neng Huang, Li Fan, Ximing Yu, Yan Dang, Catherine A. Larson, Dorothy Denning, Nancy Roberts and Hsinchun Chen Developing a Dark Web collection and infrastructure for computational and social sciences , (2010). 59 64 5484774 , 10.1109/ISI.2010.5484774 http://ieeexplore.ieee.org/document/5484774/
- Qian-Ming Zhang, Ming-Sheng Shang, Wei Zeng, Yong Chen and Linyuan Lü, Empirical comparison of local structural similarity indices for collaborative-filtering-based recommender systems, Physics Procedia, 3, 5, (1887), (2010).
- Tossapon Boongoen, Qiang Shen and Chris Price, Disclosing false identity through hybrid link analysis, Artificial Intelligence and Law, 10.1007/s10506-010-9085-9, 18, 1, (77-102), (2010).
- Weiping Liu and Linyuan Lü, Link prediction based on local random walk, EPL (Europhysics Letters), 89, 5, (58007), (2010).
- QIAN-MING ZHANG, MING-SHENG SHANG and LINYUAN LÜ, SIMILARITY-BASED CLASSIFICATION IN PARTIALLY LABELED NETWORKS, International Journal of Modern Physics C, 21, 06, (813), (2010).
- San-Yih Hwang, Chih-Ping Wei and Yi-Fan Liao, Coauthorship networks and academic literature recommendation, Electronic Commerce Research and Applications, 9, 4, (323), (2010). IEEE INFOCOM 2010 - IEEE Conference on Computer Communications San Diego, CA, USA 2010 Proceedings IEEE INFOCOM IEEE , (2010). 978-1-4244-5836-3 Theus Hossmann, Thrasyvoulos Spyropoulos and Franck Legendre Know Thy Neighbor: Towards Optimal Mapping of Contacts to Social Graphs for DTN Routing , (2010). 1 9 5462135 , 10.1109/INFCOM.2010.5462135 http://ieeexplore.ieee.org/document/5462135/
- Ming-Sheng Shang, Zi-Ke Zhang, Tao Zhou and Yi-Cheng Zhang, Collaborative filtering with diffusion-based similarity on tripartite graphs, Physica A: Statistical Mechanics and its Applications, 389, 6, (1259), (2010).
- Xue-Qi Cheng, Fu-Xin Ren, Hua-Wei Shen, Zi-Ke Zhang and Tao Zhou, Bridgeness: a local index on edge significance in maintaining global connectivity, Journal of Statistical Mechanics: Theory and Experiment, 2010, 10, (P10011), (2010). 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010) Odense, Denmark 2010 International Conference on Advances in Social Networks Analysis and Mining IEEE , (2010). 978-1-4244-7787-6 Zhijun Yin, Manish Gupta, Tim Weninger and Jiawei Han A Unified Framework for Link Recommendation Using Random Walks , (2010). 152 159 5562778 , 10.1109/ASONAM.2010.27 http://ieeexplore.ieee.org/document/5562778/
- FANG DU, QI XUAN and TIE-JUN WU, EMPIRICAL ANALYSIS OF ATTENTION BEHAVIORS IN ONLINE SOCIAL NETWORKS, International Journal of Modern Physics C, 21, 07, (955), (2010). 2010 IEEE International Conference on Intelligence and Security Informatics Vancouver, BC, Canada 2010 IEEE International Conference on Intelligence and Security Informatics IEEE , (2010). 978-1-4244-6444-9 Huiqi Zhang and Ram Dantu Predicting social ties in mobile phone networks , (2010). 25 30 5484780 , 10.1109/ISI.2010.5484780 http://ieeexplore.ieee.org/document/5484780/ 2010 International Conference on Computer Design and Applications (ICCDA 2010) Qinhuangdao, China 2010 International Conference On Computer Design and Applications IEEE , (2010). 978-1-4244-7164-5 Jingfeng Guo and Hongwei Guo Multi-features link prediction based on matrix , (2010). V1-357 V1-361 5540852 , 10.1109/ICCDA.2010.5540852 http://ieeexplore.ieee.org/document/5540852/ 2010 IEEE 12th Conference on Commerce and Enterprise Computing (CEC) Shanghai, China 2010 IEEE 12th Conference on Commerce and Enterprise Computing IEEE , (2010). 978-1-4244-8433-1 Yu-Hsuan Chan, Kimberly Keeton and Kwan-Liu Ma Interactive Visual Analysis of Hierarchical Enterprise Data , (2010). 180 187 5708410 , 10.1109/CEC.2010.37 http://ieeexplore.ieee.org/document/5708410/
- Qiang Yang, Three challenges in data mining, Frontiers of Computer Science in China, 4, 3, (324), (2010). EM) Macao, China 2010 IEEE International Conference on Industrial Engineering and Engineering Management IEEE , (2010). 978-1-4244-8501-7 J. Mori, Y. Kajikawa, I. Sakata and H. Kashima Predicting customer-supplier relationships using network-based features , (2010). 1916 1920 5674626 , 10.1109/IEEM.2010.5674626 http://ieeexplore.ieee.org/document/5674626/ 2010 12th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2010) Lyon, France The 12th IEEE International Conference on e-Health Networking, Applications and Services IEEE , (2010). 978-1-4244-6374-9 Dan C. Marinescu and Ladislau Boloni Social network-based virtual organizations for biomedical research , (2010). 135 142 5556581 , 10.1109/HEALTH.2010.5556581 http://ieeexplore.ieee.org/document/5556581/
- Daniele Quercia, Jonathan Ellis and Licia Capra, Using Mobile Phones to Nurture Social Networks, IEEE Pervasive Computing, 9, 3, (12), (2010). 2010 International Conference on Educational and Information Technology (ICEIT) Chongqing, China 2010 International Conference on Educational and Information Technology IEEE , (2010). 978-1-4244-8033-3 Wu Junying, Xia Chunhe, Lv Liangshuang and Wang Haiquan GLP: A Group Link Prediction Algorithm in DTMNs , (2010). 5607493 , 10.1109/ICEIT.2010.5607493 http://ieeexplore.ieee.org/document/5607493/
- Amin Mantrach, Luh Yen, Jerome Callut, Kevin Francoisse, Masashi Shimbo and Marco Saerens, The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph, IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 6, (1112), (2010). 2010 IEEE Second International Conference on Social Computing (SocialCom) Minneapolis, MN, USA 2010 IEEE Second International Conference on Social Computing IEEE , (2010). 978-1-4244-8439-3 Kang Zhao, John Yen, Louis-Marie Ngamassi, Carleen Maitland and Andrea Tapia From Communication to Collaboration: Simulating the Emergence of Inter-organizational Collaboration Network , (2010). 413 418 5591274 , 10.1109/SocialCom.2010.66 http://ieeexplore.ieee.org/document/5591274/
- Yoshiharu Maeno, Katsumi Nitta and Yukio Ohsawa, Reflective Visualization of the Agreement Quality in Mediation, New Frontiers in Artificial Intelligence, 10.1007/978-3-642-14888-0_4, (33-44), (2010).
- Fernando Mourão, Leonardo Rocha, Lucas Miranda, Virgílio Almeida and Wagner Meira, Quantifying the Impact of Information Aggregation on Complex Networks: A Temporal Perspective, Algorithms and Models for the Web-Graph, 10.1007/978-3-540-95995-3_5, (50-61), (2009).
- Luh Yen, Francois Fouss, Christine Decaestecker, Pascal Francq and Marco Saerens, Graph nodes clustering with the sigmoid commute-time kernel: A comparative study, Data & Knowledge Engineering, 68, 3, (338), (2009).
- Raf Guns, Generalizing link prediction: Collaboration at the University of Antwerp as a case study, Proceedings of the American Society for Information Science and Technology, 46, 1, (1-15), (2010).
- Neil R. Smalheiser and Vetle I. Torvik, Author name disambiguation, Annual Review of Information Science and Technology, 43, 1, (1-43), (2011). 2009 IEEE International Conference on Intelligence and Security Informatics Richardson, TX, USA 2009 IEEE International Conference on Intelligence and Security Informatics IEEE , (2009). 978-1-4244-4172-3 978-1-4244-4171-6 Yulei Zhang, Shuo Zeng, Li Fan, Yan Dang, Catherine A. Larson and Hsinchun Chen Dark web forums portal: Searching and analyzing jihadist forums , (2009). 71 76 5137274 , 10.1109/ISI.2009.5137274 http://ieeexplore.ieee.org/document/5137274/ 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Jeju Island, South Korea 2009 IEEE International Conference on Fuzzy Systems IEEE , (2009). 978-1-4244-3596-8 Tossapon Boongoen and Qiang Shen Semi-supervised OWA aggregation for link-based similarity evaluation and alias detection , (2009). 288 293 5277168 , 10.1109/FUZZY.2009.5277168 http://ieeexplore.ieee.org/document/5277168/
- Christopher C. Yang and Marc Sageman, Analysis of terrorist social networks with fractal views, Journal of Information Science, 10.1177/0165551508099089, 35, 3, (299-320), (2009).
- Duo Sun, Tao Zhou, Jian-Guo Liu, Run-Ran Liu, Chun-Xiao Jia and Bing-Hong Wang, Information filtering based on transferring similarity, Physical Review E, 80, 1, (2009).
- Tao Zhou, Linyuan Lü and Yi-Cheng Zhang, Predicting missing links via local information, The European Physical Journal B, 71, 4, (623), (2009). 2009 International Conference on Web Information Systems and Mining (WISM) Shanghai, China 2009 International Conference on Web Information Systems and Mining IEEE , (2009). 978-0-7695-3817-4 Salman Jamali and Huzefa Rangwala Digging Digg: Comment Mining, Popularity Prediction, and Social Network Analysis , (2009). 32 38 5368318 , 10.1109/WISM.2009.15 http://ieeexplore.ieee.org/document/5368318/ 2009 30th IEEE Symposium on Security and Privacy (SP) Oakland, CA, USA 2009 30th IEEE Symposium on Security and Privacy IEEE , (2009). 978-0-7695-3633-0 Arvind Narayanan and Vitaly Shmatikov De-anonymizing Social Networks , (2009). 173 187 5207644 , 10.1109/SP.2009.22 http://ieeexplore.ieee.org/document/5207644/ 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM) Athens, Greece 2009 International Conference on Advances in Social Network Analysis and Mining IEEE , (2009). 978-0-7695-3689-7 Alon Bartal, Elan Sasson and Gilad Ravid Predicting Links in Social Networks Using Text Mining and SNA , (2009). 131 136 5231915 , 10.1109/ASONAM.2009.12 http://ieeexplore.ieee.org/document/5231915/ 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC San Antonio, TX, USA 2009 IEEE International Conference on Systems, Man and Cybernetics IEEE , (2009). 978-1-4244-2793-2 Yoshiharu Maeno Node discovery in a networked organization , (2009). 3522 3527 5346826 , 10.1109/ICSMC.2009.5346826 http://ieeexplore.ieee.org/document/5346826/ 2009 International Conference on Computational Science and Engineering Vancouver, BC, Canada 2009 International Conference on Computational Science and Engineering IEEE , (2009). 978-1-4244-5334-4 Rumi Ghosh and Kristina Lerman Structure of Heterogeneous Networks , (2009). 98 105 5284246 , 10.1109/CSE.2009.142 http://ieeexplore.ieee.org/document/5284246/ 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) Nashville, TN, USA 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology IEEE , (2009). 978-1-4244-2756-7 Daniel Ashlock and Colin Lee Using diffusion characters for the taxonomy of self-organizing social networks , (2009). 60 67 4925708 , 10.1109/CIBCB.2009.4925708 http://ieeexplore.ieee.org/document/4925708/
- Linyuan Lü, Ci-Hang Jin and Tao Zhou, Similarity index based on local paths for link prediction of complex networks, Physical Review E, 80, 4, (2009).
- Yoshiharu Maeno and Yukio Ohsawa, Node Discovery in a Network, Transactions of the Japanese Society for Artificial Intelligence, 24, (376), (2009). IEEE INFOCOM 2009 - IEEE Conference on Computer Communications Workshops Rio de Janeiro, Brazil IEEE INFOCOM Workshops 2009 IEEE , (2009). 978-1-4244-3968-3 Fabien Tarissan, Matthieu Latapy and Christophe Prieur Efficient Measurement of Complex Networks Using Link Queries , (2009). 1 6 5072135 , 10.1109/INFCOMW.2009.5072135 http://ieeexplore.ieee.org/document/5072135/
- Tao Zhou, Ri-Qi Su, Run-Ran Liu, Luo-Luo Jiang, Bing-Hong Wang and Yi-Cheng Zhang, Accurate and diverse recommendations via eliminating redundant correlations, New Journal of Physics, 11, 12, (123008), (2009).
- Roger Guimerà and Marta Sales-Pardo, Missing and spurious interactions and the reconstruction of complex networks, Proceedings of the National Academy of Sciences, 106, 52, (22073), (2009). 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC San Antonio, TX, USA 2009 IEEE International Conference on Systems, Man and Cybernetics IEEE , (2009). 978-1-4244-2793-2 Yoshiharu Maeno, Katsumi Nitta and Yukio Ohsawa Reflective visualization of dispute resolution , (2009). 1698 1703 5346821 , 10.1109/ICSMC.2009.5346821 http://ieeexplore.ieee.org/document/5346821/ 2009 IEEE International Conference on Data Mining Workshops (ICDMW) Miami, FL, USA 2009 IEEE International Conference on Data Mining Workshops IEEE , (2009). 978-1-4244-5384-9 Evrim Acar, Daniel M. Dunlavy and Tamara G. Kolda Link Prediction on Evolving Data Using Matrix and Tensor Factorizations , (2009). 262 269 5360493 , 10.1109/ICDMW.2009.54 http://ieeexplore.ieee.org/document/5360493/
- Ignacio Castro, Jose Luis Galán and Cristobal Casanueva, Antecedents of construction project coalitions: a study of the Spanish construction industry, Construction Management and Economics, 27, 9, (809), (2009). IEEE INFOCOM 2009 - IEEE Conference on Computer Communications Workshops Rio de Janeiro, Brazil IEEE INFOCOM Workshops 2009 IEEE , (2009). 978-1-4244-3968-3 Theus Hossmann, Franck Legendre and Thrasyvoulos Spyropoulos From Contacts to Graphs: Pitfalls in Using Complex Network Analysis for DTN Routing , (2009). 1 6 5072147 , 10.1109/INFCOMW.2009.5072147 http://ieeexplore.ieee.org/document/5072147/
- Ji Liu and Guishi Deng, Link prediction in a user–object network based on time-weighted resource allocation, Physica A: Statistical Mechanics and its Applications, 388, 17, (3643), (2009). 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM) Athens, Greece 2009 International Conference on Advances in Social Network Analysis and Mining IEEE , (2009). 978-0-7695-3689-7 Prantik Bhattacharyya, Ankush Garg and S. Felix Wu Social Network Model Based on Keyword Categorization , (2009). 170 175 5231898 , 10.1109/ASONAM.2009.46 http://ieeexplore.ieee.org/document/5231898/ 2008 Eighth IEEE International Conference on Data Mining (ICDM) Pisa, Italy 2008 Eighth IEEE International Conference on Data Mining IEEE , (2008). 978-0-7695-3502-9 Hanghang Tong, Huiming Qu and Hani Jamjoom Measuring Proximity on Graphs with Side Information , (2008). 598 607 4781155 , 10.1109/ICDM.2008.42 http://ieeexplore.ieee.org/document/4781155/ 2008 Canadian Conference on Electrical and Computer Engineering - CCECE Niagara Falls, ON, Canada 2008 Canadian Conference on Electrical and Computer Engineering IEEE , (2008). 978-1-4244-1642-4 0840-7789 Colin Lee and Daniel Ashlock Diffusion characters: Breaking the spectral barrier , (2008). 000847 000850 4564655 , 10.1109/CCECE.2008.4564655 http://ieeexplore.ieee.org/document/4564655/ 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2008) Sun Valley, ID, USA 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology IEEE , (2008). 978-1-4244-1778-0 Daniel Ashlock and Colin Lee Characterization of extremal epidemic networks with diffusion characters , (2008). 264 271 4675789 , 10.1109/CIBCB.2008.4675789 http://ieeexplore.ieee.org/document/4675789/ 2008 19th International Conference on Pattern Recognition (ICPR) Tampa, FL, USA 2008 19th International Conference on Pattern Recognition IEEE , (2008). 978-1-4244-2174-9 1051-4651 Jerry Scripps, Pang-Ning Tan, Feilong Chen and Abdol-Hossein Esfahanian A matrix alignment approach for link prediction , (2008). 1 4 4761444 , 10.1109/ICPR.2008.4761444 http://ieeexplore.ieee.org/document/4761444/
- Aaron Clauset, Cristopher Moore and M. E. J. Newman, Hierarchical structure and the prediction of missing links in networks, Nature, 453, 7191, (98), (2008). 2008 Winter Simulation Conference (WSC) Miami, FL, USA 2008 Winter Simulation Conference IEEE , (2008). 978-1-4244-2707-9 Fabian Menges, Bud Mishra and Giuseppe Narzisi Modeling and simulation of e-mail social networks: A new stochastic agent-based approach , (2008). 2792 2800 4736399 , 10.1109/WSC.2008.4736399 http://ieeexplore.ieee.org/document/4736399/ Sixth International Conference on Data Mining (ICDM'06) Hong Kong, China Sixth International Conference on Data Mining (ICDM'06) IEEE , (2006). 0-7695-2701-7 1550-4786 Dou Shen, Jian-tao Sun, Qiang Yang and Zheng Chen Latent Friend Mining from Blog Data , (2006). 552 561 4053081 , 10.1109/ICDM.2006.95 http://ieeexplore.ieee.org/document/4053081/
- Qi Yu, Chao Long, Yanhua Lv, Hongfang Shao, Peifeng He, Zhiguang Duan and Neil R. Smalheiser, Predicting Co-Author Relationship in Medical Co-Authorship Networks, PLoS ONE, 10.1371/journal.pone.0101214, 9, 7, (e101214), (2014).
- A. Kastrin, T. C. Rindflesch and D. Hristovski, Link Prediction on a Network of Co-occurring MeSH Terms: Towards Literature-based Discovery, Methods of Information in Medicine, 10.3414/ME15-01-0108, 55, 4, (340-346), (2016).
- Giovanni Luca Ciampaglia, Prashant Shiralkar, Luis M. Rocha, Johan Bollen, Filippo Menczer, Alessandro Flammini and Alain Barrat, Computational Fact Checking from Knowledge Networks, PLOS ONE, 10.1371/journal.pone.0128193, 10, 6, (e0128193), (2015).
- Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten Mørup, Marcel A. J. van Gerven and Eric Jonas, The missing link: Predicting connectomes from noisy and partially observed tract tracing data, PLOS Computational Biology, 10.1371/journal.pcbi.1005374, 13, 1, (e1005374), (2017).
- Anuradha Goswami and Ajey Kumar, Challenges in the Analysis of Online Social Networks: A Data Collection Tool Perspective, Wireless Personal Communications, 10.1007/s11277-017-4712-3, (2017).