Public Opinion Spread Simulation Based on Evolutionary One-to-many Game in BBV Network

摘要

Recently, public opinion spread simulation raised more interests. The evolutionary one-to-many game is presented to model the public opinion spread process between the agent and its neighbors. In this game, the population dynamics is utilized to update the neighbors' strategy. Then the game is integrated into the SIS model to construct the public opinion propagation model. The computer simulation results on the BBV network verified the effectiveness of this model from the key aspects of social deterrence, individual thought (thought depth and foresight extent) and weight factor. The network topology also has important influence on the model. Then we further discussed the game model based on agented-base dynamic.