高级全球合振荡网络的集体行为,以应对正负合
Lixin Yang1, Mengjiao Li1, Jun Jiang2
1School of Mathematics and Data Science, Shaanxi University of Science and Technology, Xi'an, China.
Frontiers in network physiology
|August 6, 2025
概括
结合网络中的更高阶相互作用显著影响集体行为. 这项研究揭示了负合阻碍了同步,而混合合缩小了同步区域,突出了合模式的关键作用.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 非线性动力学是一种非线性动力学.
背景情况:
- 集体行为和同步是合网络中的关键现象.
- 在复杂的系统中,越来越多地认识到更高阶的相互作用.
- 在现实世界网络中存在正 (刺激性) 和负 (抑制性) 合.
研究的目的:
- 开发一个全球合的高阶振荡系统模型,包括正负合.
- 研究合模式对网络同步的影响.
- 分析二阶相互作用在高阶网络中的影响.
主要方法:
- 开发一个全球合的高阶振荡系统模型.
- 在不同合场景 (正,负,混合) 下分析网络同步.
- 高阶相互作用的数学建模和模拟.
主要成果:
- 在纯正合中,二次相互作用对同步有有限的影响.
- 纯正的负合会导致异步状态,而不考虑二次相互作用.
- 混合合显示了随着负合的增加而减少的同步区域.
结论:
- 合模式在实现全球高阶网络同步方面发挥着至关重要的作用.
- 负合通常会抑制高阶网络中的同步.
- 正负合之间的相互作用决定了网络的同步行为.
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