Research of Social Network Information Transmission Based on User Influence

Abstract

Along with the rapid development of the social network, social network information transmission mode has been changed. In this case, it needs to measure the factors affecting the spread of social network in order to adapt to the changes of social network communication model, and predict the paths to social network transmission. Because of these reasons, this article proposed a social network information transmission model based on the influence of user nodes in the social networks. In this model, the function of mutual influence between the network users was defined first; Secondly, this paper proposed a model of social network information transmission based on user’s relative weight; the third, the communication process and the propagation path of network is analyzed; At last, the different paths of information dissemination influence were discussed. In order to verify the validity of the model, this paper compared this model with the traditional SIR model in six kinds of social networks. From the results of contrast tests, we could see that the proposed model of social networks based on user influence could get much more excellent performance.