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  • 标题:Relaxing Common Belief for Social Networks
  • 本地全文:下载
  • 作者:Noah Burrell ; Grant Schoenebeck
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2021
  • 卷号:185
  • 页码:45:1-45:20
  • DOI:10.4230/LIPIcs.ITCS.2021.45
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We propose a relaxation of common belief called factional belief that is suitable for the analysis of strategic coordination on social networks. We show how this definition can be used to analyze revolt games on general graphs, including by giving an efficient algorithm that characterizes a structural result about the possible equilibria of such games. This extends prior work on common knowledge and common belief, which has been too restrictive for use in understanding strategic coordination and cooperation in social network settings.
  • 关键词:Social networks; network revolt games; common belief
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