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Proc Natl Acad Sci U S A. 2007 May 1;104(18):7327-31. Epub 2007 Apr 23.

An information-theoretic framework for resolving community structure in complex networks.

Author information

  • 1Department of Biology, University of Washington, Seattle, WA 98195-1800, USA. rosvall@u.washington.edu

Abstract

To understand the structure of a large-scale biological, social, or technological network, it can be helpful to decompose the network into smaller subunits or modules. In this article, we develop an information-theoretic foundation for the concept of modularity in networks. We identify the modules of which the network is composed by finding an optimal compression of its topology, capitalizing on regularities in its structure. We explain the advantages of this approach and illustrate them by partitioning a number of real-world and model networks.

PMID:
17452639
PMCID:
PMC1855072
DOI:
10.1073/pnas.0611034104
[PubMed - indexed for MEDLINE]
Free PMC Article
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