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Date of Publication:2022-10-10

Journal:大连理工大学学报

Affiliation of Author(s):软件学院

Volume:52

Issue:2

Page Number:272-276

ISSN No.:1000-8608

Abstract:In terms of the dynamic features in social network,the concepts of
   community seed and community theme based on the instruction of
   multimodal function optimization and particle swarm optimization
   algorithms are introduced to hierarchically discover the social
   community.Firstly,the immovable connections are used to dig community
   structures in complex networks and construct the fundamental community
   structures.Secondly,the community context is analyzed and the community
   theme is defined according to the recessive behavioral characteristics
   of nodes in the same community.Then,the community members are refined
   until the structure is steady.Experimental results show that this
   algorithm can effectively preserve the diversity of communities in
   social network,accelerate the convergence of nodes in communities and
   quickly find the steady social structures.

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