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。
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.
作者
柴正猛
宋璐璐
CHAI Zhengmeng;SONG Lulu(Faculty of Management and Economics,Kunming University of Science and Technology,Kunming 650500,China)
出处
《科技和产业》
2024年第12期211-217,共7页
Science Technology and Industry
基金
国家自然科学基金(72163018)
云南省应用基础研究重点项目(202401AS070112)。
关键词
航空运输
网络鲁棒性
复杂网络
货运网络
air transportation
network robustness
complex networks
freight network
