不同链接下非对称相依网络的级联失效研究

现实中存在对称性和非对称性的相依网络，目前在研究相依网络级联失效时选择的对象主要为对称相依网络，为了综合分析相依网络的鲁棒性，针对非对称相依网络的级联失效问题进行了研究，首先利用典型BA无标度网络和WS小世界网络构建了非对称双层相依网络的级联失效模型，之后在随机攻击和蓄意攻击条件下，分别研究构建的网络模型的相依程度、相依模式以及子网络的拓扑结构对网络故障的影响。仿真结果表明，无论是何种程度相依的非对称相依网络，在随机攻击下，度正相关相依网络都表现出弱鲁棒性，而在蓄意攻击下，度负相关相依网络表现出弱鲁棒性，且网络的拓扑结构对网络的级联失效有影响。

Cascading failures of asymmetric dependent networks under different links

In reality, there are symmetry interdependent network and asymmetry interdependent network. At present, the cascading failures of symmetric interdependent networks are mainly studied. In order to make a comprehensive analysis of the robustness of the interdependent networks, this paper studied the cascading failure of asymmetric interdependent networks. Firstly, it constructed a cascaded failure model of asymmetric double layer interdependent networks using a typical BA scale-free network and a WS small world network. Then, under the condition of random attack and deliberate attack, it studied the dependence of network models, dependency patterns and the topology of sub networks on network failures. The simulation results show that the asymmetric dependent network is dependent regardless of the extent to which, in a random attack, positively related to degree of dependency networks exhibit strong robustness, while in deliberate attack, three different correlation shows the same robustness of interdependent networks. Moreover, the topology of the attack network affects cascading failures of the network.