The purpose of this paper is to investigate the characteristics of the dissemination of information in the community. A variety of possible factors that affect the dissemination of information in Sina Weibo have been discussed. By analyzing the process of the information dissemination in the community of Sina Weibo, we found the information dissemination of Weibo community and the dynamic model are very similar. With the aid of data intensive computing theory, the various features have been mined and modeled. The dynamic model is improved and redefined to characterize the community. Then the SEINR model is proposed. The basic reproductive number, the existence of equilibrium point and the stability of the network are analyzed and proved in detail. By comparing with real data in Weibo community, we show that the SEINR model accurately reflects the dissemination of information community. Furthermore, we investigate the SEINR model in detail to show the influences of different parameters on information dissemination by simulations.
['Ru Wang', 'Seungmin Rho', 'Bo-Wei Chen', 'Wandong Cai']
Modeling of large-scale social network services based on mechanisms of information diffusion: Sina Weibo as a case study