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面向级联失效的复杂网络加权策略
引用本文:丁琳,张嗣瀛.面向级联失效的复杂网络加权策略[J].控制与决策,2013,28(9):1399-1402.
作者姓名:丁琳  张嗣瀛
作者单位:1. 青岛大学复杂性科学研究所,山东青岛266071; 南华大学计算机科学与技术学院,湖南衡阳421001
2. 青岛大学复杂性科学研究所,山东青岛,266071
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。

关 键 词:级联失效  复杂网络  加权策略  鲁棒性
收稿时间:2012/4/6 0:00:00
修稿时间:2012/10/22 0:00:00

Cascading failures-oriented weighting strategies on complex networks
DING Lin,ZHANG Si-ying.Cascading failures-oriented weighting strategies on complex networks[J].Control and Decision,2013,28(9):1399-1402.
Authors:DING Lin  ZHANG Si-ying
Abstract:

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.

Keywords:cascading failures  complex networks  weighting strategies  robustness
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