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科学领域:

  • 社交网络分析分析
  • 计算社会学是一种计算社会学.
  • 游戏理论的游戏理论.

背景情况:

  • 间接互惠取决于对未来积极互动的声誉.
  • 八流影响声誉的传播,造成透问题.
  • 声誉风险激励亲社会行为并增加信任.

研究的目的:

  • 量化信息传播对社会互动的影响.
  • 引入一种用于社交网络生成的新算法.
  • 为社会关系形成提供新的理论基础.

主要方法:

  • 计算社会互动的预期受众规模.
  • 开发基于信任的附件 (TBA) 算法.
  • 将TBA生成的网络与现实世界的社会图表进行比较.

主要成果:

  • TBA产生具有高集群,小世界属性和权力法分布的网络.
  • TBA的机制可以通过朋友的朋友的日常活动来近似.
  • 信任,八和信息传播被确定为社会纽带形成的关键因素.

结论:

  • 基于信任的依恋为理解社交网络演变提供了一个新的框架.
  • 这项研究为社会背景中的三元封闭提供了新的理由.
  • 信息传播动态显著影响人类的社会行为和网络结构.