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. 2008 Jul;78(1 Pt 2):016108.
doi: 10.1103/PhysRevE.78.016108. Epub 2008 Jul 21.

Biclique communities

Sune Lehmann  1 , Martin Schwartz, Lars Kai Hansen
Affiliations
Free article

Biclique communities

Sune Lehmann et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jul.
Free article

Abstract

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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