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How non-uniform tolerance parameter strategy changes the response of scale-free networks to failures

机译:非均匀公差参数策略如何改变无标度网络对故障的响应

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In this paper, we introduce a non-uniform tolerance parameter (TP) strategy (the tolerance parameter is characterized by the proportion between the unused capacity and the capacity of a vertex) and study how the non-uniform TP strategy influences the response of scale-free (SF) networks to cascading failures. Different from constant TP in previous work of Motter and Lai (ML), the TP in the proposed strategy scales as a power-law function of vertex degree with an exponent b. The simulations show that under low construction costs D, when b > 0 the tolerance of SF networks can be greatly improved, especially at moderate values of b; When b < 0 the tolerance gets worse, compared with the case of constant TP in the ML model. While for high D the tolerance declines slightly with the b, namely b < 0 is helpful to the tolerance, and b > 0 is harmful. Because for smaller b the cascade of the network is mainly induced by failures of most high-degree vertices; while for larger b, the cascade attributes to damage of most lowdegree vertices. Furthermore, we find that the non-uniform TP strategy can cause changes of the structure and the load-degree correlation in the network after the cascade. These results might give insights for the design of both network capacity to improve network robustness under limitation of small cost, and for the design of strategies to defend cascading failures of networks.
机译:在本文中,我们介绍了一种非均匀公差参数(TP)策略(该公差参数由未使用的容量和一个顶点的容量之间的比例表示),并研究非均匀公差策略如何影响尺度响应。 -无故障(SF)网络来解决级联故障。与Motter和Lai(ML)以前的工作中的恒定TP不同,所提出的策略中的TP缩放为具有指数b的顶点度的幂律函数。仿真结果表明,在较低的建设成本D下,当b> 0时,SF网络的容忍度可以大大提高,特别是在b的取值适中的情况下。当b <0时,与ML模型中恒定TP的情况相比,公差变得更差。对于高D而言,公差随b略有下降,即b <0对公差有帮助,而b> 0对人体有害。因为对于较小的b,网络的级联主要是由大多数高阶顶点的故障引起的;而对于较大的b,级联归因于大多数低度顶点的损坏。此外,我们发现不均匀的TP策略会导致级联后网络结构和负载度相关性的变化。这些结果可能为设计网络容量以提高在较小成本限制下的网络健壮性以及防御网络级联故障的策略设计提供见识。

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