| Biclique communities. | |
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MedLine Citation:
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PMID: 18764021 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
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We present a method for detecting communities in bipartite networks. Based on an extension of the k -clique community detection algorithm, we demonstrate how modular structure in bipartite networks presents itself as overlapping bicliques. If bipartite information is available, the biclique community detection algorithm retains all of the advantages of the k -clique algorithm, but avoids discarding important structural information when performing a one-mode projection of the network. Further, the biclique community detection algorithm provides a level of flexibility by incorporating independent clique thresholds for each of the nonoverlapping node sets in the bipartite network. |
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Authors:
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Sune Lehmann; Martin Schwartz; Lars Kai Hansen |
Publication Detail:
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Type: Journal Article Date: 2008-07-21 |
Journal Detail:
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Title: Physical review. E, Statistical, nonlinear, and soft matter physics Volume: 78 ISSN: 1539-3755 ISO Abbreviation: Phys Rev E Stat Nonlin Soft Matter Phys Publication Date: 2008 Jul |
Date Detail:
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Created Date: 2008-09-03 Completed Date: 2008-09-15 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101136452 Medline TA: Phys Rev E Stat Nonlin Soft Matter Phys Country: United States |
Other Details:
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Languages: eng Pagination: 016108 Citation Subset: - |
Affiliation:
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Center for Complex Network Research and Department of Physics, Northeastern University, Boston, Massachusetts 02115, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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