Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 374, Issue 1, Pages 483-490Publisher
ELSEVIER
DOI: 10.1016/j.physa.2006.07.023
Keywords
overlapping community structure; modular function; spectral mapping; fuzzy c-means clustering; complex network
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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. (c) 2006 Elsevier B.V. All rights reserved.
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