摘要
针对复杂网络抵制级联故障的鲁棒性问题,考虑节点权重和边的方向,通过扩展经典的全局介数方法定义节点负载,提出了新的随机网络级联故障模型.应用三种边方向确定策略,在具有单向边和双向边的随机网络上探讨了级联故障行为,分析了全局负载分布机制下定向边对网络抵制级联攻击鲁棒性的影响.仿真结果表明,对于随机网络,所使用的边定向方法均可以使得网络更加鲁棒.但是,不同的边方向确定策略和单向边比例对随机网络抵制级联故障鲁棒性的优化效果影响不大.
In order to discuss the robustness of complex networks against cascading failures,by extending a classical global betweenness method to define the loads of nodes,a new cascading model for random networks is proposed,taking into account the weights of nodes and the directions of links.Applying three link direction-determining strategies,cascading failures behaviors are investigated in random networks with both unidirectional and bidirectional links.Then,the effects of unidirectional links on the network robustness against cascaded attack are analyzed under the global load-based distribution mechanism.The simulation results show that for random networks,the network robustness can be improved by these link-directed methods.But different edge direction-determination strategies and fractions of unidirectional links have little effect on optimizing robustness of random networks against cascading faults.
出处
《南华大学学报(自然科学版)》
2018年第6期91-96,共6页
Journal of University of South China:Science and Technology
基金
国家自然科学基金项目(61403183)
湖南省哲学社会科学基金项目(14YBA340)
南华大学高层次引进人才科研启动基金项目(2017XQD26)
关键词
边定向
级联故障
鲁棒性
随机网络
link orientation
cascading failures
robustness
random networks