LAUSR

Abstract With the rapid development of the Internet, the large-scale social network era has arrived. The large scale, complex connections, multi-content and dynamic changes are the characteristics of the large-scale social network. The dynamic changes of the structure and user's behaviors lead to changes of the community structure. Therefore, analyzing of large-scale social network evolution has great significance. In this paper, according to study the influence of the cooperative behavior among the users on the communities, the analysis method of the dynamic evolution based on the cooperative behavior of users is proposed. The method constructs a dynamic evolution model based on the cooperative behavior. The connections in the community are changed by the cooperative behavior of users. Therefore, the structure of the community will be changed at every moment. In each evolution process, the user will adjust the behavior strategy. The relationship and the strategy adjustment rule are constructed by analyzing the dilemma income matrix. Afterwards, the relationship and strategy in the next moment are calculated. The size and development trend of the community are predicted. In the simulation experiment, the reliability of the proposed method is verified.