基于分布式流的复杂网络上边级联失效

考虑现实网络中流的分布式传输方式和边的负载-容量关系，提出了一个带有可调权重参数的边级联失效模型。依据新的度量网络鲁棒性指标，探讨了两种典型复杂网络由蓄意边攻击而引发的级联失效行为。仿真结果表明，存在最优参数值使得网络达到最强抵制边级联失效的鲁棒性，能够显著降低灾害动力学发生的可能性。而且，网络的拓扑结构和平均度均对网络鲁棒性产生了影响。

Edge Cascading Failures on Complex Networks Based on Distributed Flow

Considering distributed transmission mode of flow and load-capacity relation for edges in real networks,an edge cascading failures model with a tunable weight parameter is proposed. According to new measures to the robustness of a network, cascading failures triggered by intentional edge attacks on two typical complex networks are investigated. The simulation results show the existence of optimal parameter value corresponding to the stron-gest robustness achievement for the networks against edge cascading failures,reducing sig-nificantly the likelihood of the occurrence of catastrophic dynamics. Furthermore,topologi-cal structure and average degree of the networks all have effect on the network robustness.