Detecting community in attributed networks by dynamically exploring node attributes and topological structure

作者：

Highlights：

• Dynamic integration of node attributes and topological structure is proposed.

• NMFjGO is developed for community detection in attribute networks.

• The proposed algorithms outperform state-of-the-art methods without increasing the time complexity.

摘要

•Dynamic integration of node attributes and topological structure is proposed.•NMFjGO is developed for community detection in attribute networks.•The proposed algorithms outperform state-of-the-art methods without increasing the time complexity.

论文关键词：Community detection,Attributed network,Nonnegative matrix factorization,Graph optimization

论文评审过程：Received 30 October 2019, Revised 18 January 2020, Accepted 9 March 2020, Available online 12 March 2020, Version of Record 16 April 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105760