负荷作用下的相依网络鲁棒性研究

提高相依网络的鲁棒性对网络的可靠性和安全性建设具有重要意义。针对所构建的三种耦合方式下的无标度相依网络，引入节点负荷作用，通过计算机仿真对相依网络的鲁棒性问题进行研究。研究发现，相比随机耦合和异配耦合，相依网络在同配耦合方式下具有最强鲁棒性。节点容忍系数和子网络同配性系数对相依网络的鲁棒性具有显著影响，为使相依网络更加鲁棒，应适当增大节点容忍系数或减小子网络同配性系数。另外，耦合强度的增加也能在一定程度上提高相依网络的鲁棒性，且随机耦合方式下的相依网络对耦合强度的变化更加敏感。

Study on load-induced robustness of interdependent networks

It is very important for reliability and security of networks to improve the robustness of interdependent networks. This paper constructed a scale-free interdependent networks with three coupling modes, and introduced the load of the nodes. And the robustness of the interdependent networks was studied by computer simulation. The study found that, compared with random coupling and disassortative coupling, the interdependence networks have the strongest robustness in the assortative coupling. Nodes tolerance coefficient and sub-networks assortative coefficient have a significant impact on the robustness of the interdependent networks. In order to make the interdependent networks more robust, the nodes tolerance coefficient should be increased and the sub-networks assortative coefficient should be reduced. In addition, the increase of the coupling strength can also improve the robustness, and the interdependence networks under the random coupling is more sensitive to the change of the coupling strength.