为了更好地探讨复杂网络抵制相继故障的全局鲁棒性,基于节点的局域特征,并紧紧围绕负荷这一影响连锁故障发生和传播最重要的物理量以及节点崩溃后的动力学过程,提出了带有可调参数的相继故障模型.数值模拟获得了复杂网络抵制相继故障的鲁棒性与模型中参数的关系以及网络的平均度对相继故障的影响.此外,基于不同网络图的分析以及理论解析的推导,数值模拟结论也得到了验证.
To better explore the universal robustness against cascading failures on complex networks, closely focusing on the load which is the most important physical quantity that can affect the occurrence and spread of cascading failure, and dynamic process after a node fails, a cascading model with tunable parameters is pro- posed based on the local characteristic of a node. We obtain numerically the relation between the robustness against cascading failures on complex networks and parameters in the model, and discuss the effect of the average degree of a network for cascading failures. In addition, simulation results also are verified by the analysis of the different network graphs and the theory.