An Opinion Evolution Model Based on the Interaction Behavior and Influence of Microblog Users

Opinion evolution is an important method to model the spread and evolution of user opinions in microblogs. Considering the interaction behavior and influence of microblog users, an opinion evolution model is proposed to study the fusion process of opinions. Given a node u in the network, u will be affected by its 1-hop, 2-hop and 3-hop nodes, denoting these nodes by observation range M, and its influence is the influences of the M nodes times their corresponding weights. Meanwhile, the opinion of u is affected by the opinions of the M nodes. Therefore, a feedback mechanism for the influences of the nodes is proposed. Based on the fusion rules, when the opinions of the affected nodes change, the feedback will affect the nodes to change their opinions. Finally, this paper uses scale-free network to simulate, and the experimental results show that the evolution of individual opinions eventually reaches a stable state.