相互依存的更高层次网络的稳定性
Yuhang Lai1, Ying Liu1,2, Kexian Zheng1
1School of Computer Science, Southwest Petroleum University, Chengdu 610500, China.
Chaos (Woodbury, N.Y.)
|July 11, 2023
概括
这项研究探讨了相互依赖的简化复合体的稳定性,揭示了更高阶结构如何增强网络对随机攻击的弹性. 增加更高阶效应可以转移相位过渡并改善整体系统稳定性.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 统计物理学的统计物理.
背景情况:
- 现实世界的系统表现出超出对联连接的复杂相互作用,需要像简化复合体这样的模型来捕捉更高阶结构.
- 相互依存的网络容易发生级联故障,这是复杂系统稳定性的关键问题.
研究的目的:
- 在随机攻击下调查相互依赖的简单复合体的稳定性,并结合来自更高阶结构的互补效应.
- 分析更高阶结构如何影响这些复杂系统中的级联故障和相位过渡.
主要方法:
- 使用透法来推导透值和巨型组件大小在稳定状态级联失效下.
- 开发分析预测并通过模拟结果验证它们.
主要成果:
- 简化复合体中的高阶结构与传统的相互依赖网络相比,提高了稳定性.
- 高阶结构的互补效应可以改变阶段过渡的类型 (第一阶段到第二阶段) 并增加系统的弹性.
- 层间合强度影响相位过渡类型,将其从二级转移到一级.
结论:
- 简化复合体提供了一个更强大的框架来建模相互依存的系统,因为它们固有的更高阶结构.
- 了解更高层次的相互作用对于设计弹性复杂网络至关重要.
- 这些发现提供了对高阶相互依赖网络的稳定性和故障动态的见解.
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