Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction

Social Networking Services rise rapidly in recent years, and gradually penetrate into the user groups all over the world. Sina Microblogging is one of the important applications and has more than 500 million registered users. Huge number of users on the platform and the mass content, provide effective corpus for information mining in groups of users. In this paper, more than 1.6 million user-generated content From 2015-07-01 to 2015-12-31 are conducted on Sina microblogging platform for the purpose of analyzingc information forwarding and propagation characteristics, as well as predictive propagation behavior, based on this we propose a concept of degree of integration into social networks (DISN), combining with the kinetic theory of human behavior ,we propose DISN evaluation indexes and DISN evaluation model. We divided the users into users of integration into social networks（UISN）and users of no-integration into social networks（UNSN），and we carried out information dissemination analysis on two groups of group behavior，data analysis results showed that the proportion of UNSN is extremely high，and we predict the boundary line of distinction between UNSN and UISN, comparing the user's perspective and the perspective of the microblogging. each of three types of acts including forward, comments and like has complicated relevances with the others, these findings can provide useful help for social group behavior studies