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Updated: Jul 10, 2025

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在切换环境中的杂选民模型.
Annalisa Caligiuri1, Tobias Galla1
1Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat Illes Balears, E-07122 Palma de Mallorca, Spain.
Physical review. E
|November 18, 2023
概括
这项研究探讨了在不断变化的环境下杂的选民模型,揭示了新的两极分化和异质状态. 它还显示了外部影响者如何在意见动态中创建多峰分布.
科学领域:
- 统计物理 统计物理
- 计算社会科学 计算社会科学
- 数学生物学 数学生物学
背景情况:
- 杂选民模型是理解论动态和社会影响力的关键框架.
- 了解外部因素和环境波动如何影响共识形成至关重要.
研究的目的:
- 为了研究噪音较大,参数波动的选民模型的静止状态.
- 在动态环境条件下分析两极分化和异质状态的出现.
- 检查外部影响因素对意见分布和静止状态的影响.
主要方法:
- 基于个体的模拟来建模代理相互作用.
- 使用断片决定性的马尔科夫过程 (PDMP) 进行分析近似.
- 线性噪声近似来捕捉内在的随机性.
- 为具有多个环境状态的PDMPs开发一个数值方案的开发.
主要成果:
- 确定了一个新的阶段,当群体与噪声比率波动时,呈现极化和异质状态.
- 证明了由于外部影响因素而出现的多峰静止分布.
- 经过验证的分析结果与模拟结果.
结论:
- 环境波动和外部影响因素在杂选民模型中显著改变了论动态.
- 该研究为分析复杂的社会系统提供了一个理论和计算框架.
- 对人口中多样化和两极分化的意见形成的新见解.
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