Research on online rumor based on SEIR model with nonlinear incidence rates

The internet changes the way of human communication, netizens can publish and receive information whenever and wherever, which promote efficiency and speed up rumor dissemination, and highlight dangers of online rumors. Because of many similarities between online rumors dissemination and virus dissemination, in this paper, the SEIR model with nonlinear incidence rates is proposed to research on the diffusion process of online rumors. Aiming at the increasing number of the new netizens in our country, use the Logistic curve to describe the number of netizens, build SEIR online tumor dissemination model with nonlinear incidence rate and population dynamics. By analyzing the equilibrium point, development trend of online tumor can be predicted, and analytical expressions of threshold value be obtained when it is exist. The online rumors dissemination can be controlled by adjusting the parameters of threshold expression. Finally the accuracy and validation has been verified by simulation experiment.