A Social Network Information Dissemination Model Based on Evolutionary Game Considering Node’s Attitude

As a kind of social attribute of bounded rational users, attitude continuously selects and updates in the process of interaction between nodes, which makes the behavioral game between communication subjects and affects the dissemination of information. To analyze the impact of attitude changes on information, this paper proposes an information propagation model based on evolutionary game. Firstly, from the individual point of view, the update rules of the node's attitude are defined according to non-Bayesian social learning rules. Secondly, the game matrix between nodes based on attitude value is established, and the information dissemination model based on node attitude is established according to the evolutionary analysis paradigm. By replicating the equilibrium solution of dynamic equations with both positive and negative attitudes, and analyzing the stability of the corresponding equilibrium points, the evolution mechanism of dynamic interaction between attitude nodes is obtained. Finally, the impact of different attitudes on information dissemination was analyzed by combining SIS model. The validity of the proposed model is verified by numerical analysis and simulation experiments, and the simulation results show that the change of different attitude of nodes plays an important role in information dissemination.