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在基于路径依赖框架的签名网络中表达和私人意见的动态.

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这项研究探讨了社交网络中表达和私人意见如何演变. 它发现反复讨论导致私人和表达的意见之间的协调,确保稳定性.

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科学领域:

  • 社交网络动态 社交网络动态
  • 意见的形成和演变.
  • 计算社会科学 计算社会科学

背景情况:

  • 社交网络表现出复杂的意见演变,受表达和私人意见的影响.
  • 社会一致性和个人真实性之间的紧张关系塑造了论的动态.
  • 了解意见分歧和趋同在社交网络分析中至关重要.

研究的目的:

  • 用表达和私人意见 (EPO) 模型分析签名网络中的意见演变.
  • 调查负面边缘和话题转换对意见动态的影响.
  • 为了获得共识,稳定和对表达和私人意见的调整的条件.

主要方法:

  • 将提升技术应用于EPO模型来处理负边.
  • 利用路径依赖理论来建模主题转换.
  • 分析推导意见趋同和稳定的条件.
  • 数字模拟用于验证.

主要成果:

  • 为消除表达和私人意见之间的差异,得出了足够的条件.
  • 经过证明的趋同到零共识,两党共识或有限的意见稳定.
  • 通过代讨论建立了私人和表达的意见之间的非对称对齐.
  • 在结构不平衡的网络中确定了双边共识的充分条件.

结论:

  • 欧洲专利局模型为理解意见动态提供了一个框架,考虑了表达的意见和私人意见.
  • 代性讨论可以导致社会网络的意见一致和稳定.
  • 网络结构,特别是结构平衡,极大地影响了意见趋同的结果.