A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization

IEEE Transactions on Computational Social Systems(2022)

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摘要
Community detection is one of the popular research topics in the field of complex networks analysis. It aims to identify communities, represented as cohesive subgroups or clusters, where nodes in the same community link to each other more densely than others outside. Due to the interpretability, simplicity, flexibility, and generality, nonnegative matrix factorization (NMF) has become a very ideal...
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关键词
Complex networks,Taxonomy,Matrix decomposition,Mathematical models,Image edge detection,Transforms,Social networking (online)
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