The evolution analysis of community structure of social network will help us understand the composition of social organizations and the evolution of society better. In order to discover the community structure and the regularity of community evolution in large-scale social networks, this paper analyzes the formation process and influencing factors of communities, and proposes a community evolution analysis method of crowd attraction driven. This method uses the traditional community division method to divide the basic community, and introduces the theory of information propagation into complex network to simulate the information propagation of dynamic social networks. Then defines seed node, the activity of basic community and crowd attraction to research the influence of groups on individuals in social networks. Finally, making basic communities as fixed groups in the network and proposing community detection algorithm based on crowd attraction. Experimental results show that the scheme can effectively detect and identify the community structure in large-scale social networks.

中文翻译：

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社交网络上人群吸引力驱动的社区演化

社会网络社区结构的演化分析有助于我们更好地理解社会组织的组成和社会的演化过程。为了发现大规模社交网络中的社区结构和社区演化规律，本文分析了社区的形成过程和影响因素，提出了一种人群吸引驱动的社区演化分析方法。该方法利用传统社区划分方法对基础社区进行划分，将信息传播理论引入复杂网络，模拟动态社会网络的信息传播。然后定义种子节点、基础社区的活动和人群吸引力来研究群体对社交网络中个体的影响。最后，将基础社区作为网络中的固定群体，提出基于人群吸引力的社区检测算法。实验结果表明，该方案可以有效地检测和识别大规模社交网络中的社区结构。