关键词: 复杂网络, 负载, 灰色信息, 相继故障, 鲁棒性

Abstract: Aiming at cascading failures in complex load-networks subject to attacks, and considering that the attack information may be incompletely precise, a cascading failures model based on grey information is proposed. The accuracy of grey information can be controlled by a tunable parameter, the random and intentional attack are two extreme cases of this model. Cascades of node overload failures triggered by edge attacks in scale-free and random networks are investigated, and the effects of grey information on the robustness of two types of networks are compared. The simulation results show that decreasing the precision of information can remarkably enhance the robustness of scale-free networks; however, in random networks the situation is not obvious. Furthermore, the critical phenomenon that information accuracy affects networks robustness is observed. These provide academic basis to defense of cascading failures, design of network architecture and effective protection of real networks.

Key words: complex networks, load, grey information, cascading failures, robustness