Two-stage multi-objective evolutionary algorithm for overlapping community discovery.

ABSTRACT: As one of the essential topological structures in complex networks, community structure has significant theoretical and application value and has attracted the attention of researchers in many fields. In a social network, individuals may belong to different communities simultaneously, such as a workgroup and a hobby group. Therefore, overlapping community discovery can help us understand and model the network structure of these multiple relationships more accurately. This article proposes a two-stage multi-objective evolutionary algorithm for overlapping community discovery problem. First, using the initialization method to divide the central node based on node degree, combined with the cross-mutation evolution strategy of the genome matrix, the first stage of non-overlapping community div

SUBMITTER: Cai L 

PROVIDER: S-EPMC11323150 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature