Community detection based on "clumpiness" matrix in complex networks

Details Community detection based on "clumpiness" matrix in complex networks Community detection based on "clumpiness" matrix in complex networks

2011-05-02

arxiv.org/abs/1105.0324v3

Physics

Physics and Society

18 pages and 13 figures

Scientific paper

The "clumpiness" matrix of a network is used to develop a method to identify its community structure. A "projection space" is constructed from the eigenvectors of the clumpiness matrix and a border line is defined using some kind of angular distance in this space. The community structure of the network is identified using this borderline and/or hierarchical clustering methods. The performance of our algorithm is tested on some computer-generated and real-world networks. The accuracy of the results is checked using normalized mutual information. The effect of community size heterogeneity on the accuracy of the method is also discussed.

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