基于微博的UVFR谣言传播模型研究及仿真

With the rapid development of social networks, the control of network rumors becomes more and more important. This paper studied the dissemination mechanism of rumors on microblog networks. According to its propagation characteristics, the paper divided the audience users of microblog rumors into four categories: Unknown, Viewer, Forwarder and Reviewer, thus constructing a network rumor propagation model of UVFR. It used the model to analyze the influence of the main parameters on the propagation process, and proposed the corresponding control strategies. The main feature of the model redefined the rules of rumor propagation and the propagation dynamics equation, which made the propagation formula more in line with the real use habits of micro-blog users. The paper used a multi-agent simulation platform to simulate the spread of rumors in scale-free network structure, and compared the simulation results with the real data of Sina Weibo to verify the rationality and validity of the conclusions. The simulation results show that the more initial propagation nodes, the faster the rumor spread, and the greater the forwarding probability, the wider range the rumor spread.