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党派选民模型:随机描述和噪音诱导的过渡
Jaume Llabrés1, Maxi San Miguel1, Raúl Toral1
1Institute for Cross-Disciplinary Physics and Complex Systems IFISC (CSIC-UIB), Campus UIB, 07122 Palma de Mallorca, Spain.
Physical review. E
|December 20, 2023
概括
我们分析了党派选民模型 (PVM) 和其杂版本 (NPVM). NPVM引入了代理偏好和自发状态变化,揭示了新的中间阶段和过渡类型.
科学领域:
- 统计物理 统计物理
- 社会动力学 社会动力学
- 计算社会科学 计算社会科学
背景情况:
- 党派选民模型 (PVM) 是理解论动态的一个关键框架.
- 之前对杂选民模型 (NVM) 的研究表明,噪音引起的过渡.
- 对于特定代理的偏好和自发状态变化对PVM动态的影响的理解有限.
研究的目的:
- 对党派选民模型 (PVM) 进行全面的平均场分析.
- 引入和分析PVM (NPVM) 的噪音版本,结合代理偏好和自发状态变化.
- 在社会论模型中调查噪声对阶段过渡和新兴行为的影响.
主要方法:
- 对PVM的中场分析.
- 介绍和数学建模杂的党派选民模型 (NPVM).
- 分析计算出口概率,固定时间和准静止分布.
- 研究有限尺寸效应和相位过渡.
主要成果:
- 对PVM的退出概率,固定时间和准静止分布的分析结果.
- 与NVM相比,NPVM表现出修改后的噪音诱导过渡.
- 在NPVM中出现中间阶段和连续和不连续的过渡.
结论:
- 通过包括代理特定因素,NPVM提供了更加细致的意见动态模型.
- 噪音在塑造社会论模型中出现的阶段和过渡行为中起着至关重要的作用.
- 这项研究促进了对选民模型及其扩展的复杂动态的理解.
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