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
Yutong Christina Wang1, Yuzhi Kong2, Hongfeng Hu3
1Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, Hong Kong, China.
Chaos (Woodbury, N.Y.)
|March 13, 2026
概括
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.
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.
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