在完全异质的黑塞尔曼-克劳斯观点动态模型中,相位共存
Rémi Perrier1, Hendrik Schawe1, Laura Hernández2
1Laboratoire de Physique Théorique et Modélisation, UMR-8089 CNRS, CY Cergy Paris Université, Cergy-Pontoise, France.
Scientific reports
|January 3, 2024
概括
意见动态中的异质因素可能导致令人惊的共识转变. 即使有混合的人口,社会也可能达到极端的观点,由于代理互动,共识可能会被推翻.
科学领域:
- 社会动力学 社会动力学
- 计算社会科学 计算社会科学
- 统计物理 统计物理
背景情况:
- 意见动态模型探讨个人意见如何在社会系统中演变和聚合.
- 有限信心模型模拟基于药物耐受性水平的意见形成.
- 代理人和网络结构的异质性显著影响集体行为.
研究的目的:
- 调查不同质的社会代理人和网络结构对意见动态的综合影响.
- 探索一个有界的信任意见模型的完整阶段图,具有多种代理和链接属性.
- 将不同网络拓中的模型行为与完全混合的群体进行比较.
主要方法:
- 利用一个有界的信任意见动态模型,结合异构的代理人和社会联系.
- 分析了两个不同的网络拓,并将它们与完全混合的群体和格子相互作用进行了比较.
- 检查了相位图,以识别新出现的共识状态和动态过渡.
主要成果:
- 妥协和狭的代理人的共存导致了多个稳定状态.
- 社会可以在极端观点上达成共识,这种现象在同质系统中没有观察到.
- 共识可以动态地从一个极端转移到另一个极端,由特定的代理互动和网络位置驱动.
- 标准顺序参数可能会掩盖关键的动态阶段,例如意见颠覆.
结论:
- 不同质的代理人和网络拓之间的相互作用可以产生复杂的意见动态,包括共识颠覆.
- 愿意在意见分歧之间妥协的"桥梁"代理人的存在对于意见转变至关重要.
- 这些发现挑战了标准顺序参数在捕捉微妙的社会动态方面的可靠性.
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