基于网络演化博弈的信息传播行为分析
Analysis of Information Dissemination Behavior Based on Network Evolutionary Game Theory
王光 1张莹1
作者信息
- 1. 辽宁工程技术大学 软件学院,辽宁 葫芦岛 125105
- 折叠
摘要
演化博弈论将博弈理论与动态演化过程相结合,在演化的过程中追求动态平衡,该方法较好地实现了对在线社交网络信息传播演化趋势的分析.为了进行在线社交网络中的信息传播演化动力学研究,同时分析到达某一均衡状态的原因和方式,首先结合在线社交网络特性构建改进聚集的无标度网络,用户间的交互采用单参数囚徒困境博弈模型,并采用费米规则更新策略.其次,通过数据仿真对影响网络中合作者比例演化的因素进行分析,得到网络聚集性、博弈收益权重会促进网络中的合作行为,而背叛诱惑与噪声因子则对其有抑制作用的结论.最后,结合新浪微博的真实舆论传播数据,对现实网络进行信息传播分析.研究表明,合作者比例是由博弈动力学和网络拓扑结构共同作用的结果,需采取适当的激励机制,以解决在线社交网络中信息传播出现的合作困境.
Abstract
Evolutionary game theory combines game theory with dynamic evolution process and pursues dynamic balance in the process of evo-lution.This method better realizes the analysis of the evolution trend of online social network information dissemination.In order to study the evolution dynamics of information dissemination in online social networks,and analyze the reasons and ways of reaching a certain equilibrium state,first of all,combined with the characteristics of online social networks,an improved clustering scale-free network is constructed.The interaction between users adopts a single-parameter prisoner's dilemma game model,and the Fermi rule update strategy.Secondly,by analyz-ing the factors that affect the evolution of the proportion of partners in the network through data simulation,it is concluded that the network ag-gregation and the weight of game returns will promote the cooperative behavior in the network,while the temptation of betrayal and noise fac-tors will inhibit it.Finally,combined with the real public opinion communication data of Sina Weibo,this paper analyzes the information com-munication of the real network.The results show that the proportion of partners is the result of the interaction of game dynamics and network to-pology,and it is necessary to adopt appropriate incentive mechanism to solve the cooperative dilemma of information transmission in online so-cial networks.
关键词
网络演化博弈/聚集/无标度网络/囚徒困境博弈/费米规则Key words
network evolution game/clustering/scale-free network/prisoner's dilemma game/Fermi rule引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据