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Robustness of complex networks to cascading failures induced by Poisson fluctuating loads

机译:复杂网络与泊松波动负荷引起的级联失败的鲁棒性

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Considering the fact that overload failures in real-world functional networks are usually caused by extreme values of temporally fluctuating loads that exceed the allowable range, we study the robustness of complex networks against cascading overload failures in such situation. In our model, at each cascading step the fluctuating load on a network is described by the total number of walkers, which is a random number that subjects to Poisson distribution. And a node fails when its overload probability is beyond its risk tolerance. Relative size of the giant component as a function of the cascade step is used to assess the robustness of networks against cascading overload.
机译:考虑到现实世界功能网络中的过载失败通常由超出允许范围的载荷负载的极高值引起的,我们研究复杂网络对这种情况下的级联过载失败的鲁棒性。 在我们的模型中,在每个级联步骤中,网络上的波动负载由步行者的总数描述,这是对泊松分布的随机数。 当其过载概率超出其风险公差时,节点失败。 作为级联步骤的函数的巨大分量的相对大小用于评估网络与级联过载的鲁棒性。

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