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机构地区:[1]School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [2]College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
出 处:《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2008年第10期1336-1340,共5页浙江大学学报(英文版)A辑(应用物理与工程)
基 金:the National Basic Research Program (973) of China (No. 2004CB217902);the National Natural Science Foundation of China (Nos. 60421002 and 60804045);the Postdoctoral Science Foundation of China (No. 20070421163)
摘 要:The local-world (LW) evolving network model shows a transition for the degree distribution between the exponential and power-law distributions, depending on the LW size. Cascading failures under intentional attacks in LW network models with different LW sizes were investigated using the cascading failures load model. We found that the LW size has a significant impact on the network's robustness against deliberate attacks. It is much easier to trigger cascading failures in LW evolving networks with a larger LW size. Therefore, to avoid cascading failures in real networks with local preferential attachment such as the Internet, the World Trade Web and the multi-agent system, the LW size should be as small as possible.The local-world (LW) evolving network model shows a transition for the degree distribution between the exponential and power-law distributions, depending on the LW size. Cascading failures under intentional attacks in LW network models with different LW sizes were investigated using the cascading failures load model. We found that the LW size has a significant impact on the network's robustness against deliberate attacks. It is much easier to trigger cascading failures in LW evolving networks with a larger LW size. Therefore, to avoid cascading failures in real networks with local preferential attachment such as the Internet, the World Trade Web and the multi-agent system, the LW size should be as small as possible.
关 键 词:Complex network Local world (LW) Cascading failures POWER-LAW ATTACK
分 类 号:N94[自然科学总论—系统科学] TP393[自动化与计算机技术—计算机应用技术]
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