摘要
针对加权复杂网络抵制级联失效的鲁棒性问题,提出一种介数相关的节点加权方法,并应用加权流局域重新分配原则构建了带有可调权重参数的级联模型.在典型模型网络和真实网络上探讨了级联行为.数值模拟和理论分析结果给出了网络达到最强鲁棒性水平时所对应的权重参数值.与现有的度相关加权策略对比,介数相关加权策略使得网络鲁棒性更强.
In order to discuss the robustness of weighted complex networks against cascading failures,this paper proposes a betweenness-dependent node weighting method,and constructs a cascading model with tunable weight parameters by applying the local weighted flow redistribution rule.Cascading behaviors on both model and real-world networks are studied.The numerical simulation and theoretical analysis results give a value of the weight parameter corresponding to the strongest robustness level for the networks.The betweenness-dependent weighting strategy makes the networks more robust as compared with existing degree-dependent that.
出处
《控制与决策》
EI
CSCD
北大核心
2013年第9期1399-1402,1408,共5页
Control and Decision
基金
国家自然科学基金项目(61104075)
关键词
级联失效
复杂网络
加权策略
鲁棒性
cascading failures
complex networks
weighting strategies
robustness
