Evolutionary multi-objective overlapping community detection based on fusion of internal and external connectivity and correction of node intimacy

Ronghua Shang, Sa Wang, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin

Abstract: Highlights•This paper proposes an attribute information-assisted overlapping community detection method called FCCNI.•The initial stage is supplemented by the fusion strategy based on internal and external connectivity, FCCNI designs a function to calculate the intimacy between nodes.•The correction strategy is used in two stages of initialization and multi-objective evolution to obtain a more accurate node label.•FCCNI exploits the internal connection of the communities and the node attribute to obtain the overlapping community indirectly from the non-overlapping community.