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Cascading Failures in Two-layered Interdependent Scale-free Networks

机译:两层相互依存的无尺寸网络中的级联故障

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摘要

Cascading failures in isolated networks have been widely studied in the past decade, cascading failures in interdependent networks are attracting more and more attention recently, but previous studies focus on the interdependent networks' topological cascading effects, neglecting the loads which present in most real networks. Considering the effect of loads, the two-layered interdependent BA network model and the cascading failure model were reestablished in this paper, based on these, the robustness of interdependent networks under random failures and intentional attacks and the effects of average degree on the suppressing of cascading failures were researched. The simulation results show that compared to random failures, interdependent network is more vulnerable under intentional attacks; the network in coupled state is more vulnerable than in isolated state under random failures, while there're no obvious differences under intentional attacks; the network performs more robust to resist cascading failures if each layer network of the interdependent network hold larger average degree.
机译:在过去的十年中,孤立网络中的级联失败已被广泛研究,相互依存网络中的级联失败最近引起了越来越多的关注,但之前的研究侧重于相互依存的网络的拓扑级联效果,忽略了大多数真实网络中存在的负载。考虑到负载的效果,本文重新建立了两层相互依赖的BA网络模型和级联故障模型,基于这些纸张,在随机故障和故意攻击下相互依存网络的鲁棒性以及平均程度对抑制的影响研究了级联失败。仿真结果表明,与随机故障相比,相互依存的网络在故意攻击下更脆弱;耦合状态的网络比随机失败下的隔离状态更容易受到孤立的状态,而故意攻击则没有明显的差异;如果相互依存网络的每个层网络保持更大的平均度,则网络执行更强大的抵抗级联故障。

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