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Clustering and visualization of fuzzy communities in social networks

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8 Author(s)
Havens, T.C. ; Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA ; Bezdek, J.C. ; Leckie, C. ; Chan, J.
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We discuss a new formulation of a fuzzy validity index that generalizes the Newman-Girvan (NG) modularity function. The NG function serves as a cluster validity functional in community detection studies. The input data is an undirected graph G = (V, E) that represents a social network. Clusters in V correspond to socially similar substructures in the network. We compare our fuzzy modularity to an existing modularity function using the well-studied Karate Club data set.

Published in:

Fuzzy Systems (FUZZ), 2013 IEEE International Conference on

Date of Conference:

7-10 July 2013

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