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Asymmetric Game Dynamics in Complex Networks against Cascading Failures

机译:复杂网络中的非对称游戏动态反对级联故障

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Information asymmetry is one of the most important dynamic properties of complex networks. It has important significance to explore the effect of information asymmetry on cascading failures for realizing cascading dynamic properties. In this paper, after analyzing the information asymmetry during the load redistribution, asymmetric game theory has been constructed to describe the behavior of game among nodes during the load redistribution. And on the basis of this framework, a new cascading model is proposed in which the network robustness is mostly influenced by initial load of nodes and profit asymmetry ratio. The simulation results show initial load has a positive correlation with the cascading propagation and exists an intermediate value guaranteeing the minimum of the tolerance threshold, while the results of profit asymmetry ratio are on the contrary. These research results effectively demonstrate the value of information asymmetry theory on network security and provides new perspective to investigate the cascading failure dynamics.
机译:信息不对称是复杂网络中最重要的动态特性之一。探讨信息不对称对实现级联动态特性的级联故障的影响具有重要意义。本文在分析了负载再分布过程中的信息不对称之后,构建了不对称的博弈论,以描述负载再分布期间节点中游戏的行为。在此框架的基础上,提出了一种新的级联模型,其中网络稳健性主要受节点初始负荷和利润不对称比的影响。仿真结果显示初始载荷与级联传播具有正相关,并且存在保证公差阈值的最小值的中间值,而利润不对称比率相反。这些研究结果有效地展示了信息不对称理论对网络安全性的价值,并提供了研究级联失效动态的新视角。

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