Fuzzy-rough community in social networks

Pattern Recognition Letters, Volume 67, Issue P2, 2015.

Cited by: 40|Bibtex|Views13|Links
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Abstract:

A novel community detection algorithm to identify fuzzy-rough communities is proposed.A node can be a part of many groups with different memberships of their association.Runs on a new model of social network representation based on fuzzy granular theory.A new index viz. normalized fuzzy mutual information is used to quantify the goodness....More

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