Rumor Spreading and Security Monitoring in Complex Networks

Abstract

Rumor spreading is a typical phenomenon which poses security threats. Therefore, it is necessary to study the evolution mechanism of rumor spreading in complex networks. Considering the hesitating state in rumor spreading, we supplement fence-sitter group on existing rumor spreading models, then propose a novel SIFR rumor spreading model. The mean-field equations are derived to describe the dynamics of the rumor spreading in complex networks. In order to identify effective rumor control strategies, we further analyze the networks structure and propose an algorithm based on the topology potential theory to search the center nodes and divide the network.