关键词: 动态社区, 个体活跃度, 群体结构, 节点动态属性, 社区推荐

Abstract: Community recommendation helps users find their interested communities and is becoming an important task in social networks analysis. According to the dynamic property of social networks，the evolvement of social networks，the behavior properties of individuals and the link relationships of nodes，the formal representation methods for the dynamic community and its nodes' dynamic attributes were studied. The computation method for dynamic attributes similarity of nodes and a community recommendation algorithm based on dynamic attributes similarity of nodes were proposed. The proposed algorithm can overcome the limitation in the other algorithms, recommending community to an individual only through its direct linking individuals. The experimental results show that the recommendation precision is improved and the method is effective to the community recommendation in dynamic social networks.

Key words: dynamic community, individual activity, group structure, dynamic attributes of node, community recommendation