Research and implementation of heuristic dynamic community discovery algorithm

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.