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Identification of overlapping community structure in complex networks using fuzzy c-means clustering

Shihua Zhang, Rui-Sheng Wang and Xiang-Sun Zhang

Physica A: Statistical Mechanics and its Applications, 2007, vol. 374, issue 1, 483-490

Abstract: Identification of (overlapping) communities/clusters in a complex network is a general problem in data mining of network data sets. In this paper, we devise a novel algorithm to identify overlapping communities in complex networks by the combination of a new modularity function based on generalizing NG's Q function, an approximation mapping of network nodes into Euclidean space and fuzzy c-means clustering. Experimental results indicate that the new algorithm is efficient at detecting both good clusterings and the appropriate number of clusters.

Keywords: Overlapping community structure; Modular function; Spectral mapping; Fuzzy c-means clustering; Complex network (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (34)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:374:y:2007:i:1:p:483-490

DOI: 10.1016/j.physa.2006.07.023

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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