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20112013
most citedOverlapping Community Detection in Networks: the State of the Art and Comparative Study

937 citations · 1.8k across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.SI2013★ 24 cited

LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation

Jierui Xie, Mingming Chen, Boleslaw K. Szymanski

An increasingly important challenge in network analysis is efficient detection and tracking of communities in dynamic networks for which changes arrive as a stream. There is a need…

cs.SI2013★ 24 cited

LabelRank: A Stabilized Label Propagation Algorithm for Community Detection in Networks

Jierui Xie, Boleslaw K. Szymanski

An important challenge in big data analysis nowadays is detection of cohesive groups in large-scale networks, including social networks, genetic networks, communication networks an…

cs.SI2012★ 35 cited

Towards Linear Time Overlapping Community Detection in Social Networks

Jierui Xie, Boleslaw K. Szymanski

Membership diversity is a characteristic aspect of social networks in which a person may belong to more than one social group. For this reason, discovering overlapping structures i…

cs.SI2011★ 937 cited

Overlapping Community Detection in Networks: the State of the Art and Comparative Study

Jierui Xie, Stephen Kelley, Boleslaw K. Szymanski

This paper reviews the state of the art in overlapping community detection algorithms, quality measures, and benchmarks. A thorough comparison of different algorithms (a total of f…

cs.SI2011★ 86 cited

SLPA: Uncovering Overlapping Communities in Social Networks via A Speaker-listener Interaction Dynamic Process

Jierui Xie, Boleslaw K. Szymanski, Xiaoming Liu

Overlap is one of the characteristics of social networks, in which a person may belong to more than one social group. For this reason, discovering overlapping structures is necessa…

cs.SI2011★ 165 cited

Community Detection Using A Neighborhood Strength Driven Label Propagation Algorithm

Jierui Xie, Boleslaw K. Szymanski

Studies of community structure and evolution in large social networks require a fast and accurate algorithm for community detection. As the size of analyzed communities grows, comp…