Detecting community structure in complex networks based on a measure of information discrepancy

Junhua Zhang, Shihua Zhang and Xiang-Sun Zhang

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 7, 1675-1682

Abstract: Properties of complex networks, such as small-world property, power-law degree distribution, network transitivity, and network- community structure which seem to be common to many real-world networks have attracted great interest among researchers. In this study, global information of the networks is considered by defining the profile of any node based on the shortest paths between it and all the other nodes in the network; then a useful iterative procedure for community detection based on a measure of information discrepancy and the popular modular function Q is presented. The new iterative method does not need any prior knowledge about the community structure and can detect an appropriate number of communities, which can be hub communities or non-hub communities. The computational results of the method on real networks confirm its capability.

Keywords: Complex network; Community structure; Measure of information discrepancy (MID) (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:7:p:1675-1682

DOI: 10.1016/j.physa.2007.10.061

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