期刊文献+

基于三方博弈视角的社交网络负面信息传播及仿真研究 被引量:2

Research on Dissemination and Simulation of Negative Information in Social Network Based on Tripartite Game Theory
下载PDF
导出
摘要 [目的/意义]研究多行为主体对社交网络负面信息传播的影响,有效遏制负面信息传播及扩散。[方法/过程]针对负面信息的传播特点,运用三方演化博弈理论构建三阶段的博弈模型并进行仿真分析。将社交网络负面信息传播各阶段所涉及到的当事人、监管者、网络推手、普通网民等多行为主体的策略选择映射为三方博弈模型中的行为参数,设计实验方案。[结果/结论]仿真结果表明,改变各行为主体的行为参数值,可以有效引导网络舆情向预期的方向发展。 [Purpose/significance] The paper studies influences on negative information dissemination in social network for multibehavior subjects,and in order to effectively restrain the negative information dissemination and diffusion.[Method/process] The paper uses tripartite game theory to build a three-stage model for studying characteristics of negative information dissemination.The strategy choices of various behavior subjects,such as person concerned,regulators,network pushers and ordinary Internet users,are corresponded into parameters of the tripartite game model.Then it designs simulation experiments and obtains experiment results by simulation analysis.[Result/conclusion] The simulation experiment results show that the network public opinions can be effectively adjusted to expected directions by changing the values of behavior parameters of various behavior subjects.
作者 宾宁 王钰 胡凤 Bin Ning;Wang Yu;Hu Feng(School of Management,Guangdong University of Technology,Guangzhou Guangdong 510520)
出处 《情报探索》 2018年第9期1-12,共12页 Information Research
基金 广东省扶持哲学社会科学优势重点学科建立项目"社会化媒体环境下突发事件网络舆情演变及引导:基于多维博弈视角"(项目编号:GDXK201716) 广州市哲学社科"十三五"规划项目"广州突发事件网络舆情演变及网络治理:基于多维博弈视角"(项目编号:2017GZYB13) 广东省哲学社会科学"十二五"规划项目"基于博弈论视角的社会化媒体环境下群体性突发事件网络舆情演变及应对:以广东省为例"(项目编号:GD14YGL01)研究成果之一
关键词 社交网络 负面信息传播 三方博弈 social network negative information dissemination tripartite game
  • 相关文献

参考文献11

二级参考文献109

  • 1Stauffer D.Sociophysics:the Sznajd model and its applications[J].Computer Physics Communications,2002,146(1):93-99.
  • 2Stauffer D.Sociophysics simulations[EB/OL].http://Shum.huji.ac.il/-sorin/ccs/mypapers/2002dec/diet-socio-rev.pdf,2011-07-16.
  • 3Stauffer D.Sociophysics simulationsⅡ:Opnion dynamics[EB/OL].http://Web.Sg.ethz.ch/worksshops/summerschool05/Talks/stauffer_opinion.pdf,2011-07-16.
  • 4Hegselmann R,Krause U.Opinion dynamics and bounded confidence models,analvsis,and simulation[J].Journal of Artificial Societies and Social Simulation(JASSS),2002,5(3):2-34.
  • 5戴媛.我国网络舆情安全评估指标体系研究[D].北京:北京化工大学,2008.
  • 6杨勇涛.WEB舆情观点挖掘关键技术研究[D].成都:电子科技大学,2009.
  • 7Andrea E.Automatic Generation of Lexical Resources for Opinion Mining: Models,Algorithms and Applicatins[D].Università di Pisa,Italy,2008:115-145.
  • 8Watts D J,Strogatz S H.Collective Dynamics of Small World Networks[J].Nature,1998,(393):440-442.
  • 9Bordia R,Rosnow R L.Rumor rest stops on the information highway-transmission patterns in a computer-mediated rumor chain[J].Human Communication Research,1998,25(2):163-179.
  • 10DiFonzo N,Bordia P,Rosnow R L.Reining in rumors[J].Organizational Dynamic,1994,23(1):47-62.

共引文献102

同被引文献47

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部