对具有不断变化的意见状态的选民模型的分析
Jeehye Choi1, Byungjoon Min1,2,3, Tobias Galla4
1Chungbuk National University, Advanced-Basic-Convergence Research Institute, Cheongju, Chungbuk 28644, Korea.
Physical review. E
|August 1, 2025
概括
将创新引入选民模型解释了新观点是如何出现的. 更高的创新增加了意见的多样性,而网络结构影响了整体共识.
科学领域:
- 社会动态 社会动态
- 复杂的系统复杂的系统.
- 形成一种意见的形成.
背景情况:
- 传统的选民模型通过邻居互动来模拟意见动态.
- 这些模型往往无法解释新观点的自发出现.
- 现实世界的社会系统既表现出意见的采用,也表现出独立的意见生成.
研究的目的:
- 在经典的选民模式中引入"创新"元素.
- 调查自发的意见产生如何影响意见多样性.
- 在意见动态中分析创新,灭绝和网络结构之间的相互作用.
主要方法:
- 修改了经典的选民模型,以包括个人产生新意见的概率.
- 采用分析和数值分析来研究系统的行为.
- 研究了不同创新率和网络异质程度的影响.
主要成果:
- 创新和意见消亡之间的平衡决定了意见的稳定状态数量.
- 低的创新率几乎导致了共识,而高的创新率则促进了意见的多样性.
- 网络结构中异质度的增加减少了意见的总数.
结论:
- 拟议的创新机制为论动态提供了一个更现实的模型.
- 创新是产生和维持社会制度中意见多样性的关键因素.
- 网络拓显著调节创新对意见多样性和共识的影响.
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