Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information

作者：

Highlights：

• A joint model for multi-layer networks is proposed by combining matrix factorization and smoothness of layers.

• The community detection in multi-layer networks is transformed into an optimization problem.

• The experiments demonstrate the superiority of MjNMF.

摘要

•A joint model for multi-layer networks is proposed by combining matrix factorization and smoothness of layers.•The community detection in multi-layer networks is transformed into an optimization problem.•The experiments demonstrate the superiority of MjNMF.

论文关键词：Multi-layer networks,Community detection,Nonnegative matrix factorization,Joint learning

论文评审过程：Received 5 July 2020, Revised 8 December 2020, Accepted 8 December 2020, Available online 11 December 2020, Version of Record 14 December 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106666