Title

A soft modularity function for detecting fuzzy communities in social networks

Document Type

Article

Publication Date

12-1-2013

Abstract

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 weighted graph that represents, e.g., a social network. Clusters correspond to socially similar substructures in the network. We compare our fuzzy modularity with two existing modularity functions using the well-studied Karate Club and American College Football datasets.© 2013 IEEE.

Publication Title

IEEE Transactions on Fuzzy Systems

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