Microblog propagation network model based on mean-field theory

Abstract

Microblog is a social medium platform allowing users to share real-time information through the user relationship networks which are established by the mechanism of “following”. Message is spread through the user relationship networks by users' behavior of “retweeting”. The research on the spread mechanism of microblog message is very important for public sentiment analysis and rumor propagation control. In this paper, we intend to explore the process of microblog propagation through structural analysis of microblog propagation network. First, we adopt the data of Sina Microblog to establish microblog propagation network, then analyze the formation mechanism of this network, finally, derive the degree distribution model of microblog propagation network by mean-field theory. Experimental results show that the degree distribution of microblog propagation network is a time-dependent model, and it is a power-law distribution at specific time.