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高阶交互对合作行为的演变的影响,在超标尺度自由网络中的合作行为
Kenan Chen1, Yingqing Zhang1, Ming Luo2
1School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, People's Republic of China.
Chaos (Woodbury, N.Y.)
|February 5, 2025
概括
使用超图形建模的更高阶交互可以推动合作的爆炸性增长. 这导致双稳定的合作和脱离,受网络结构和关键值的影响.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 进化游戏理论 进化游戏理论
背景情况:
- 合作行为在社会和生物系统中至关重要.
- 了解合作中更高层次交互的作用是一个持续的挑战.
- 超级波形无尺度网络为研究复杂网络结构提供了一个框架.
研究的目的:
- 开发一个包含高阶相互作用的超图模型.
- 调查网络结构 (异质性和集群) 对合作演变的影响.
- 分析二元稳定的出现 (合作和叛逃的共存).
主要方法:
- 构建了一个超图模型,对对 (2-hyperedges) 和三向 (3-hyperedges) 相互作用进行映射.
- 利用了具有不同异质性和集群系数的超标无尺度网络.
- 分析了相互作用比例,平均程度和网络参数对合作动态的影响.
主要成果:
- 三方相互作用的关键值触发了合作的爆炸性增长,导致了双相稳定.
- 平均网络程度显著影响稳定性所需的合作者的临界质量.
- 网络结构表现出复杂的非线性效应:异质性可以根据集群级别抑制或促进 bistability,而集群增加通常会抑制 bistability.
- 异质性,聚类和噪声对合作产生非单调的,反转的U形效应.
结论:
- 高级互动是合作动态的关键驱动因素,并可能导致新兴的双稳定性.
- 网络结构在塑造合作成果方面发挥着复杂的非线性作用.
- 促进合作的有效策略需要采用动态和特定环境的方法,考虑网络拓和交互类型.
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