Rumor Spreading Model Considering the Importance and Fuzziness of Information

Abstract

In this paper, to study rum or spreading model for the web forum of which the topological structure has a strong heterogeneity, we propose a novel susceptible-exposed-infected-removed (SEIR) model by introducing the importance and fuzziness of the content of the rum or. We derive mean-field equations characterizing the dynamics of the SEIR model on heterogeneous network. Then a steady-state analysis is conducted to investigate the critical threshold and the final size of the rum or spreading. The simulation results demonstrate that small fuzziness can effectively reduce the maximum rumor influence. In addition, the critical threshold is independent of the stifling rate. We also get a conclusion that whether a rum or can spread is related to the fuzziness of rum or itself.