基于演化博弈论的网络信息传播群体行为分析

Analysis of network information propagation population behavior based on evolutionary game theory

以网络信息传播为背景,针对网络信息传播群体,对群体的静态结构和动态行为进行抽象和分析。以前期使用经典博弈论来分析传播个体行为的研究为基础,建立符合网络信息传播特性的演化博弈模型来刻画网络信息传播群体的交互行为,采用有限理性Agent来模拟真实网络信息传播环境下的信息传播者,使用演化稳定策略和复制者动态对网络信息传播单群体的行为进行静态和动态均衡的分析,并通过计算验证了网络信息传播群体的稳定结构与群体行为的动态均衡具有很强的关联性。

To address the behavior of information propagation population within the research background of networkinformation propagation, the abstraction and analysis of its static structure and dynamic behavior are investigated inthis paper. Based on previous research work on individual behavior applying classic game theory, an evolutionarygame model was built to simulate the interaction of information propagation population in line with network informationdissemination characteristics. Evolutionary game theory was used to analyze the effect of the dynamic evolutionaryprocess on population behavior. A bounded rationality agent was used to simulate message senders in a socialnetwork. An evolutionary stable strategy and replicator dynamics were used to analyze the static and dynamic equilibriumof the population behavior. We conclude that there is a strong correlation between the stability structure ofthe network information propagation population and the dynamic equilibrium of group behavior.