A NEW MODULARITY FOR DETECTING ONE-TO-MANY CORRESPONDENCE OF COMMUNITIES IN BIPARTITE NETWORKS

Tsuyoshi Murata () and Tomoyuki Ikeya ()
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Tsuyoshi Murata: Department of Computer Science, Tokyo Institute of Technology, W8-59 2-12-1 Ookayama, Meguro, Tokyo, 152-8552, Japan
Tomoyuki Ikeya: Department of Computer Science, Tokyo Institute of Technology, W8-59 2-12-1 Ookayama, Meguro, Tokyo, 152-8552, Japan

Advances in Complex Systems (ACS), 2010, vol. 13, issue 01, 19-31

Abstract: Real-world relations are often represented as bipartite networks, such as paper-author networks and event-attendee networks. Extracting dense subnetworks (communities) from bipartite networks and evaluating their qualities are practically important research topics. As the attempts for evaluating divisions of bipartite networks, Guimera and Barber propose bipartite modularities. This paper discusses the properties of these bipartite modularities and proposes another bipartite modularity that allows one-to-many correspondence of communities of different vertex types.

Keywords: Modularity; community; bipartite network (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219525910002402

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