网络与信息安全学报2023，Vol.9Issue(6)：102-115,14.DOI:10.11959/j.issn.2096-109x.2023086
面向舆情治理的信息管理机制演化博弈模型
Evolutionary game model of information management mechanism for public opinion governance
摘要
Abstract
Conflicting information in online social networks,often stemming from opposing views,can lead to rumors and the fragmentation of society.A reputation-based dynamic information management mechanism was proposed,adopting a dynamic reward and punishment strategy to decrease unnecessary information conflict so as to activate self-purification of network.By utilizing evolutionary game theory,a cumulative-prospect-based evolutionary game model of social network information conflict was constructed to validate the efficacy of the proposed mechanism.Numerical simulations were conducted to analyze the evolutionary trends of 18 different theoretical application scenarios under 9 constraints.The results demonstrate that,under constraint 5,both sides of the game tend to exhibit relatively rational behavior towards conflicts.Furthermore,dynamic evolution analysis and sensitivity analysis of the model parameters were performed while satisfying constraint 5,providing practical strategic suggestions for the dynamic information management mechanism.This model represents a novel attempt to capture the interaction of multiple factors,such as interest-driven behavior and conformity psychology,in the evolution of public opinion.Moreover,the model successfully simulates well-known patterns of rumor dissemination,confirming its validity.The proposed model offers valuable insights for the development and design of malicious information control systems in social networks and provides new ideas for the research and implementation of public opinion governance.关键词
演化博弈/信息管理/信誉/社交网络/舆情治理Key words
evolutionary game/information management/reputation/social network/public opinion governance分类
信息技术与安全科学引用本文复制引用
刘淑婷,马颖华,陈秀真..面向舆情治理的信息管理机制演化博弈模型[J].网络与信息安全学报,2023,9(6):102-115,14.基金项目
国家自然科学基金(U2003206) （U2003206）
上海市科委"科技创新行动计划"(22511101202)The National Natural Science Foundation of China(U2003206),Science and Technology Innovation Pro-gram of Science and Technology Commission of Shanghai Municipality(22511101202) （22511101202）
