食品网和网络中的功能性图案
Melanie Habermann1,2,3, Ashkaan K Fahimipour4, Justin D Yeakel5,6
1Biodiversity Theory, Helmholtz Institute for Functional Marine Biodiversity, Oldenburg 26129, Germany.
概括
小型网络模式很少预测系统的整体稳定性. 然而,模式反应性,衡量网络部分对干扰的反应方式,通常根植于这些动机,有助于预测系统故障.
科学领域:
- 复杂系统分析 复杂系统分析
- 网络理论 网络理论
- 生态动力学 生态动力学
背景情况:
- 复杂的系统通常被建模为相互作用单元的网络.
- 网络模式是小的子图,可以影响系统属性.
- 剥削性竞争是已知的影响食物网稳定的生态动机,但其他动机很少见.
研究的目的:
- 调查为什么小型网络模式很少决定整体系统的稳定性.
- 探索网络动机与系统反应性之间的关系.
- 建立动机反应性作为预测系统性故障的工具.
主要方法:
- 网络结构和动态的理论分析.
- 网络图案的识别和表征.
- 对动机反应性的计算评估.
主要成果:
- 小动机通常不足以预测全球系统的稳定性.
- 系统的反应性通常由特定的网络模式决定.
- 动机反应性量化了网络组件对干扰强烈反应的倾向.
结论:
- 稳定性预测动机的稀有性需要替代方法.
- 动机反应性为了解网络动态和潜在故障提供了有价值的指标.
- 这种方法适用于各种系统,包括食物网,流行病,供应链和电网.
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