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

作　　者：郭艳燕[1] 童向荣[1] 张楠[1] 王莹洁[1] 

机构地区：[1]烟台大学计算机与控制工程学院,山东烟台264005

出　　处：《智能系统学报》2016年第4期487-495,共9页CAAI Transactions on Intelligent Systems

基　　金：国家自然科学基金项目(61403329;61502410;61572418);山东省自然科学基金项目(ZR2015PF010;ZR2013FQ020;ZR2014FL009;ZR2014FQ016);山东省高等学校科技计划项目(J15LN09;J14LN23)

摘　　要：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.

关 键 词：演化博弈论 演化稳定策略 复制者动态 有限理性 AGENT 单群体 动态均衡 

分 类 号：G206[文化科学—传播学] O225[理学—运筹学与控制论]