An Algorithm Based on Non-Negative Matrix Factorization for Detecting Communities in Networks
Chenze Huang,
Ying Zhong
Abstract:Community structure is a significant characteristic of complex networks, and community detection has valuable applications in network structure analysis. Non-negative matrix factorization (NMF) is a key set of algorithms used to solve the community detection issue. Nevertheless, the localization of feature vectors in the adjacency matrix, which represents the characteristics of complex network structures, frequently leads to the failure of NMF-based approaches when the data matrix has a low density. This paper… Show more
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