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An information-theoretic framework for resolving community structure in complex networks
Department of Biology, University of Washington.
2007 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 104, no 18, 7327-7331 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2007. Vol. 104, no 18, 7327-7331 p.
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:umu:diva-36660DOI: 10.1073/pnas.0611034104OAI: oai:DiVA.org:umu-36660DiVA: diva2:355482
Available from: 2010-10-06 Created: 2010-10-06 Last updated: 2017-12-12Bibliographically approved

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Rosvall, Martin
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CiteExportLink to record
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