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作 者:董昌乐 王雄 Changle Dong;Xiong Wang(School of Traffic and Logistics Engineering,Shandong Jiaotong University,Jinan Shandong)
出 处:《建模与仿真》2024年第3期3548-3556,共9页Modeling and Simulation
摘 要:为了减少不确定因素对航空网络的影响,通过选取全国33个城市为机场节点,借助UCINET软件构建航空网络,并根据复杂网络理论来分析网络拓扑特性,利用Pajek软件计算网络特征指标,并通过Python来仿真模拟随机攻击和蓄意攻击,对比分析不同节点失效下航空网络的连通性变化,结果表明:网络效率和最大联通子图相对大小两个指标,在随机攻击下变化弱于蓄意攻击,随着每次失效节点数量增多,网络连通性下降更显著。重点加强对重要城市的安全防护,来保障航空网络的运行效率以及旅客的出行安全。In order to reduce the influence of uncertainties on the aviation network,by selecting 33 cities as airport nodes,the aviation network was constructed with the help of UCINNET software,and the network topology characteristics were analyzed according to the complex network theory,the network characteristic index was calculated by using Pajek software,and the random attack and deliberate attack were simulated by Python,and the connectivity changes of the aviation network under different node failures were compared and analyzed.Focus on strengthening the security protection of important cities to ensure the operational efficiency of the aviation network and the safety of passengers.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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