Interdependent networks: vulnerability analysis and strategies to limit cascading failure
Interdependent networks: vulnerability analysis and strategies to limit cascading failure
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DOI：
10.1140/epjb/e2014-40876-y
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发表时间：
2014-07-01
影响因子：
1.6
通讯作者：
Bullock, Seth
中科院分区：
文献类型：
--
作者：
Fu, Gaihua;Dawson, Richard;Bullock, Seth
网络理论越来越多地用于研究社会、物理和技术系统的结构和行为，包括民用基础设施。这些系统中有许多是相互关联的，它们之间的相互依赖性使破坏性事件能够在网络中传播，使损害远远超出干扰的直接影响。在这项研究中，我们的实验与模型来描述的方向，冗余和程度方面的相互依赖的配置，我们分析了相互依赖的系统与广泛的可能的耦合模式的性能。我们证明了有向依赖关系的网络比无向依赖关系的网络鲁棒性差，并且网络间依赖关系的冗余程度可以对依赖关系的方向性的鲁棒性产生不同的影响。由于许多现实世界系统之间的相互依赖性表现出这些特征，因此许多此类系统可能在其临界阈值附近运行。一个相互依赖的网络的脆弱性被证明是可减少的成本效益的方式，无论是通过优化网络间的连接，或通过硬化高度的节点。结果提高了相互依赖性对系统性能的影响的理解，并提供了如何减轻相关风险的见解。
Network theory is increasingly employed to study the structure and behaviour of social, physical and technological systems - including civil infrastructure. Many of these systems are interconnected and the interdependencies between them allow disruptive events to propagate across networks, enabling damage to spread far beyond the immediate footprint of disturbance. In this research we experiment with a model to characterise the configuration of interdependencies in terms of direction, redundancy, and extent, and we analyse the performance of interdependent systems with a wide range of possible coupling modes. We demonstrate that networks with directed dependencies are less robust than those with undirected dependencies, and that the degree of redundancy in inter-network dependencies can have a differential effect on robustness depending on the directionality of the dependencies. As interdependencies between many real-world systems exhibit these characteristics, it is likely that many such systems operate near their critical thresholds. The vulnerability of an interdependent network is shown to be reducible in a cost effective way, either by optimising inter-network connections, or by hardening high degree nodes. The results improve understanding of the influence of interdependencies on system performance and provide insight into how to mitigate associated risks.