基于中国东盟货运航线数据的网络结构与鲁棒性
Network Structure and Robustness Based on China-ASEAN Freight Route Data
柴正猛 1宋璐璐1
作者信息
- 1. 昆明理工大学管理与经济学院,昆明 650500
- 折叠
摘要
利用复杂网络理论,深入分析中国东盟航空货运网络的鲁棒性.通过构建网络模型,分析网络拓扑结构,识别关键节点,以最大连通子图相对大小、网络效率和平均路径长度为衡量指标进行鲁棒性分析.结果显示,网络在随机攻击模式下的鲁棒性优于蓄意攻击.因此,应对关键节点进行保护,防止其遭受攻击.这些发现对理解和改进网络稳定性和鲁棒性具有重要意义,同时为提升网络效率和可靠性提供了支持.
Abstract
Complex network theory was applied to deeply analyze the robustness of China ASEAN air cargo network.By constructing a network model,the network topology was analyzed,key nodes was identified,and the relative size of the maximum connected subgraph,network efficiency and average path length were used as the measures for robustness analysis.The results show that the robustness of the network in random attack mode is better than intentional attack.Therefore,critical nodes should be protected from attacks.These findings are important for understanding and improving network stability and robustness,while providing support for improving network efficiency and reliability.
关键词
航空运输/网络鲁棒性/复杂网络/货运网络Key words
air transportation/network robustness/complex networks/freight network引用本文复制引用
出版年
2024
NETL
NSTL
万方数据