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Simulation study on opinion formation models of heterogeneous agents based on game theory and complex networks

机译:基于博弈论和复杂网络的异构主体意见形成模型的仿真研究

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摘要

This study investigates a new opinion formation model of heterogeneous agents, a network stubborn individuals and orators (NSO) model based on game theory and complex social networks. Game theory solves economists' rational choice-making problems, and complex social networks reflect the social impact on opinion evolution. The NSO model involves both social and individual heterogeneous characteristics. In a society, the more unequal the members, and the closer the social distances, the faster opinions spread. In the real world, the power-law degree distribution and the short paths in social networks can generate the rapid spread of an opinion. This study also investigates opinion control under the NSO model. The results show that opinion guidance is most likely to separate the public into different groups rather than converge to the guide's opinion.
机译:这项研究调查了一种新的异质代理人意见形成模型,一种基于博弈论和复杂社交网络的网络固执的个体和演说者(NSO)模型。博弈论解决了经济学家的理性选择问题,复杂的社会网络反映了社会对观点演变的影响。 NSO模型涉及社会和个体异质性特征。在一个社会中,成员越不平等,社会距离越近,意见传播越快。在现实世界中,幂律度分布和社交网络中的短路径可以产生意见的迅速传播。这项研究还调查了NSO模式下的意见控制。结果表明,意见指导最有可能将公众分为不同的群体,而不是收敛于该指导意见。

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