中文摘要：

群体性事件和网络群体性事件均有社会集群性质,既危害社会稳定又危及国家安全。在技术上,互联网便利的通信方式,极大地助长了社会现实空间、特别是网络虚拟空间社会集群的频繁发生。首先,本文根据群体系统自组织理论,在若干相同或相似因素的驱动下,分析基于通信的社会个体交互形成的特殊群体,并在其集群演化过程中所具有特定的行为特征和时空特征;其次,通过群体通信拓扑关系的深度优先遍历,模拟并揭示社会集群演化过程中的聚集、螺旋和分叉等现象;最后,分别采用社会集群模拟的时空数据挖掘和通信拓扑结构的图挖掘,说明社会集群中的个体和群体在现实空间和虚拟空间的互动作用和演化机制。模拟社会集群的演化过程并分析其时空特征,有助于拆解社会集群的演化,为建立社会集群引发的群体性事件和网络群体性事件的防控性预案,提供理论依据。

英文摘要：

Mass disturbances and inter-net mass disturbances are both of a social aggregation property,which severely impair social stability and national security. Technically,the convenient inter-net communication means egregiously further repeating occurrences of the social aggregation in the social real space and especially in the network virtual space. Firstly,based on the self-organizing theory of group systems,this paper considers that driving by some unified or similar factors,social individuals interact and form a special group under communication,and gradually formed the special behavioral characters and spatiotemporal characters in the gathering evolution process. Secondly,some phenomena such as aggregation,spiral and divaricating in the process of the social aggregation evolution are simulated and studied by the depth priority traversal of group communication topology relationships. Finally,the interaction and the evolution mechanism of the individuals and groups of the social aggregation are investigated,in the real and virtual spaces,by using the spatiotemporal data mining of social aggregation simulations and the image data mining of communication topology constructions,respectively. The simulation for the process of social gathering evolution and the analysis its spatiotemporal characters,can help to disrupt the evolution of the social aggregation,and to afford a theoretical basis for the preparative scheme of preventing and controlling mass disturbances and inter-net mass disturbances induced by the social aggregation.