Catastrophes in Scale-Free Networks
Catastrophes in Scale-Free Networks
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DOI：
10.1088/0256-307x/22/5/012
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发表时间：
2004-06
影响因子：
3.5
通讯作者：
Tao Zhou;Bing-Hong Wang
中科院分区：
文献类型：
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作者：
Tao Zhou;Bing-Hong Wang
建立了一个扰动引起的连锁事件的替代模型，探讨了网络中巨灾发生的机理。我们研究了我们的模型在二维欧几里德格和无标度网络上的雪崩动力学，发现雪崩动力学行为对网络的拓扑结构是敏感的。仿真结果表明，无标度网络中的灾变比欧氏格中的灾变更频繁，且最大灾变比欧氏格中的灾变严重得多.在此基础上，研究了如何降低网络的灾变程度，并设计了一种有效的策略，称为无标度网络的目标性保障策略。
An alternative model about cascading occurrences caused by perturbation is established to search the mechanism because catastrophes in networks occur. We investigate the avalanche dynamics of our model on two-dimensional Euclidean lattices and scale-free networks and find that the avalanche dynamic behaviour is sensitive to the topological structure of networks. The simulation results show that the catastrophes occur much more frequently in scale-free networks than those in Euclidean lattices, and the greatest catastrophe in scale-free networks is much more serious than that in Euclidean lattices. Furthermore, we have studied how to reduce the catastrophes' degree, and have schemed out an effective strategy, called the targeted safeguard strategy for scale-free networks.