首页|在线社交网络中谣言传播行为的图上博弈分析

在线社交网络中谣言传播行为的图上博弈分析

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
复杂社交网络中谣言不断地滋生与蔓延.为对谣言进行有效管控,文章基于图上博弈理论,通过引入详尽可能性模型及情绪认知理论,探究谣言转发行为的影响因素,并从信息内容差异化角度,构建了社交网络用户谣言传播行为演化博弈模型.仿真结果表明:1)提高用户对谣言/反谣言信息的兴趣会直接影响其转发谣言或反驳谣言的行为;2)信息发布的强度对信息的传播效果有着直接影响;3)用户面对不确定信息时,更加愿意转发亲密节点的信息;4)谣言内容包含积极内容及用户个人情绪不稳定时,用户更易做出转发行为.据此,文章提出了治理社交网络谣言传播的相关建议,为相关部门制定有效的谣言治理策略提供了理论支持.
Game Analysis on Graph of Rumor Spreading Behavior in Online Social Networks
The rumors breed and spread in the complex social network.In order to control rumors effectively,we explore the influencing factors of rumor forwarding behavior based on the game theory on the graph by introducing the elaboration likelihood model(ELM)and cognitive theory of emotion.Then,from the perspective of information content differentiation,an evolution game model for rumor spreading behavior of social network users is established.The simulation results illustrate that:1)Increasing users'interest in rumor/anti-rumor information directly affects whether they forward the rumor or refute the rumor;2)The release strength of information has a direct effect on the dissemination of the information;3)Users are more willing to forward the information of the close nodes,when they receive the information with uncertainty;4)Rumors are more likely to be spread when they contain positive contents and when the user's personal emotions are unstable.Accordingly,this paper puts forward relevant suggestions to control the spread of rumors in social networks,and provides some theoretical support for relevant departments to formulate effective rumor control strategies.

Rumorgame on graphspread behaviorelaboration likelihood modelcognitive theory of emotion

丁学君、王慧婷、田勇

展开 >

东北财经大学管理科学与工程学院,大连 116025

辽宁师范大学物理与电子技术学院,大连 116029

谣言 图上博弈 传播行为 详尽可能性模型 情绪认知理论

国家自然科学基金国家自然科学基金国家社会科学基金重大项目国家社会科学基金重点项目辽宁省应用基础研究计划辽宁省教育科学规划课题(十三五)

723740407187402520&ZD32223AGL0232023JH2/101300189JG20DB142

2024

10.12341/jssms23285

系统科学与数学
中国科学院数学与系统科学研究院

系统科学与数学

CSTPCD北大核心
影响因子：0.425
ISSN：1000-0577
年,卷(期)：2024.44(5)
  • 31