Journal article · Preprint article
Biclique communities
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
Language: | English |
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Year: | 2008 |
Pages: | 016108 |
ISSN: | 24700053 , 24700045 , 15502376 and 15393755 |
Types: | Journal article and Preprint article |
DOI: | 10.1103/PhysRevE.78.016108 |
ORCIDs: | Jørgensen, Sune Lehmann and Hansen, Lars Kai |