Ddseir: A Dynamic Rumor Spreading Model In Online Social Networks

Online Social Network (OSN) has become an indispensable part of our daily life. Analyzing influence factors and propagation rules for rumor spreading in OSN is of great significance to the guidance and prediction of social public opinion. This paper proposes a dynamic information propagation model, Disseminate & Discriminate-Spread-Exposed-Ignorant-Recover (i.e., DDSEIR) based on user's dissemination capacity and discriminant ability. First, this paper introduces a hierarchical mechanism based on degree centrality theory to roughly categorize Internet users according to user's dissemination capacity. And subsequently, user's discriminant ability can be evaluated by sender's identity and information attributes. Finally, experimental results prove that the DDSEIR not only delays the time of rumor spreading but also reduces the scale of rumor propagation.