Community detection algorithm based on nonnegative matrix factorization and pairwise constraints

H Lu, X Sang, Q Zhao, J Lu - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
Community detection is a critical issue in the field of complex networks. Nonnegative matrix
factorization (NMF) has been one of the hot research topics in community detection. In the …

Community detection in complex networks using nonnegative matrix factorization and density-based clustering algorithm

H Lu, Q Zhao, X Sang, J Lu - Neural Processing Letters, 2020 - Springer
Community detection is a critical issue in the field of complex networks. Capable of
extracting inherent patterns and structures in high dimensional data, the non-negative matrix …

Community detection enhancement using non-negative matrix factorization with graph regularization

X Liu, YM Wei, J Wang, WJ Wang, DX He… - International Journal of …, 2016 - World Scientific
Community detection is a meaningful task in the analysis of complex networks, which has
received great concern in various domains. A plethora of exhaustive studies has made great …

A survey of community detection in complex networks using nonnegative matrix factorization

C He, X Fei, Q Cheng, H Li, Z Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Community detection method using improved density peak clustering and nonnegative matrix factorization

H Lu, Z Shen, X Sang, Q Zhao, J Lu - Neurocomputing, 2020 - Elsevier
Community detection in networks is valuable in analyzing, designing, and optimizing
complex network. Recently, the nonnegative matrix factorization (NMF) method has …

Modularized tri-factor nonnegative matrix factorization for community detection enhancement

C Yan, Z Chang - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
Community structure detection is a fundamental problem for understanding the relationship
between the topology structures and the functions of complex networks. NMF-based models …

Nonnegative matrix factorization based on node centrality for community detection

S Su, J Guan, B Chen, X Huang - ACM Transactions on Knowledge …, 2023 - dl.acm.org
Community detection is an important topic in network analysis, and recently many
community detection methods have been developed on top of the Nonnegative Matrix …

Nonnegative matrix factorization with mixed hypergraph regularization for community detection

W Wu, S Kwong, Y Zhou, Y Jia, W Gao - Information Sciences, 2018 - Elsevier
Community structure is the most significant attribute of networks, which is often identified to
help discover the underlying organization of networks. Currently, nonnegative matrix …

Community detection based on modularized deep nonnegative matrix factorization

J Huang, T Zhang, W Yu, J Zhu, E Cai - International Journal of …, 2021 - World Scientific
Community detection is a well-established problem and nontrivial task in complex network
analysis. The goal of community detection is to discover community structures in complex …

Graph regularized nonnegative matrix tri-factorization for overlapping community detection

H Jin, W Yu, SJ Li - Physica A: Statistical mechanics and its applications, 2019 - Elsevier
Abstract Non-negative Matrix Factorization technique has attracted many interests in
overlapping community detection due to its performance and interpretability. However, when …