在异质网络上的协同流行病中,多稳定性和高共维分叉
Francisco J Pérez-Reche1, Sergei N Taraskin2
1University of Aberdeen, School of Natural and Computing Sciences, Aberdeen AB24 3UE, United Kingdom.
Physical review. E
|October 21, 2025
概括
网络异质性影响协同传染,创造新的动态. 低度节点可以启动传播,而高度节点可以引起爆炸性传染,需要新的控制策略.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 流行病学 流行病学
背景情况:
- 协同传染模型描述了多个因素结合增加传播的现象.
- 网络结构显著影响传染动态,但异质性在协同传播中的作用不太清楚.
研究的目的:
- 调查网络异质性如何影响协同传染动态.
- 在异质网络中探索新的动态模式和节点影响模式.
主要方法:
- 将协同传染模型扩展到各种异质网络拓.
- 分析了多个稳定状态和分叉的出现.
- 根据异质网络的程度,研究了节点的影响.
主要成果:
- 发现了具有多个稳定状态和复杂分叉 (高达代码维度4) 的新型动态系统.
- 证明网络异质性在协同传染中重塑节点的影响.
- 确定了低度节点在启动传播和高度节点在触发爆炸性传染中发挥的关键作用.
结论:
- 网络异质性在协同传染中引入复杂的动态和多个稳定的状态.
- 节点的影响从根本上被协同作用和网络结构所改变.
- 传统的控制策略可能不足,需要新的方法来管理协同传染.
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