Soft Overlapping Community Detection in Large-Scale Networks via Fast Fuzzy Modularity Maximization

Soft overlapping clustering is one of the notable problems of community detection. Extensive research has been conducted to develop efficient methods for nonoverlapping and crisp-overlapping community detection in large-scale networks. In this article, fast fuzzy modularity maximization (FFMM) for s...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2021-06, Vol.29 (6), p.1533-1543
Hauptverfasser:	Yazdanparast, Sakineh, Havens, Timothy C., Jamalabdollahi, Mohsen
Format:	Artikel
Sprache:	eng
Schlagworte:	Apexes Benchmark testing Big data analysis Clustering community detection Complexity Computational complexity Computing time fast fuzzy modularity maximization fuzzy membership graph clustering Image edge detection Iterative methods large-scale networks Linear functions Linear programming Mathematical model Maximization Modularity Networks Optimization Partitioning algorithms soft overlapping clustering
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