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在复杂网络中,在时间变化的同行压力模型下,合作的演变
1School of Statistics and Data Science, Capital University of Economics and Business, Beijing 100070, China.
Chaos (Woodbury, N.Y.)
|July 15, 2025
概括
引入时间变化的同行压力可以加强网络中的合作. 这种模型考虑了个体敏感度的变化,大大促进了合作的演变,特别是在瓦茨-斯特罗格茨网络中.
科学领域:
- 社会科学 社会科学 社会科学
- 网络科学 网络科学
- 游戏理论 游戏理论
背景情况:
- 传统的囚犯困境模型是游戏理论中研究合作的基本概念.
- 同龄人压力,一种社会影响,可以影响合作困境中的个人决策.
- 了解动态社会因素如何影响网络合作对于各种社会和经济系统至关重要.
研究的目的:
- 在囚犯的困境框架内引入和分析一种新的时间变化的同行压力模型.
- 研究不同网络结构中不同时间变化的同行压力对合作演变的影响.
- 通过考虑个人对同行压力的动态敏感度来量化合作的增强.
主要方法:
- 同行压力的分解成强度和时间变化的灵敏度.
- 使用Sigmoid函数建模压力灵敏度,以捕捉个人差异和时间变化.
- 该模型的应用和评估基于瓦茨-斯特罗格茨 (WS) 和巴拉巴西-阿尔伯特 (BA) 网络模型.
- 通过测量合作者的比例和合作的生存范围 (参数"b") 来分析合作水平.
主要成果:
- 与传统的囚犯困境相比,随时间变化的同行压力模型显著提高了合作的演变.
- 在Watt-Strogatz网络中,在新模型下,合作生存范围扩大到b≤1.95.
- 在巴拉巴西-阿尔伯特网络中,合作生存范围扩展到b≤2.7的网络规模为100.
结论:
- 随时间变化的同行压力是促进在社会困境中的合作的有效机制.
- 拟议的模型表明,与BA网络相比,WS网络中的合作增强得更为明显.
- 动态的个体特征,如对同行压力的敏感性,在复杂网络中的合作进化中起着至关重要的作用.
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