The co-evolution propagation model of information and epidemic based on positive and negative information game

With the rapid development of mobile social platforms, there is a lot of positive and negative information on the Internet. These positive and negative information influences each other and together affects the epidemic spreading. Among them, the source of positive information with high credibility has been verified, and the source of negative information with low credibility is vague. Aiming at the situation that the positive and negative information in the network competes with each other, this paper constructs the co-evolution spreading model of network information and epidemic spreading to study the effect of the dynamic changes of network information on the epidemic spreading. Based on the co-evolution spreading model of network information and epidemic spreading, the dynamic evolution process and threshold of the spreading system are analyzed using the average field method, and the numerical simulation experiments were used to simulate the influence of different parameters in the network information layer on the epidemic spreading. Our results show that the game of positive and negative information in the network information layer directly affects the epidemic spreading process.