Abstract
This paper investigates the evolution and spread of public opinion by the aid of evolutionary game theory. Moreover, we employ the complex networks to model the interactions between the members of the multi-agent systems. For one specific opinion, we assume that three roles exist in the population: supporter, objector, and neutral. And, the supports and objectors will try to persuade the neural to adopt their strategies, in the form of game theory. The supports and objectors will make strategy updating according to the payoff-based updating rules. The findings on complex networks (BA scale-free networks) reveal that the initial distribution of the opinions and the adoption probability of the neutral players would be two important factors for the spread and evolution of opinions.
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