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

Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma

Abstract: 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.