基于时序网络的航空网络关键航班识别  

Exploring Key Flight Identification in Aviation Networks Through Temporal Network Modeling

作　　者：洪英凯 于剑 陈俣秀[1,3] HONG Yingkai;YU Jian;CHEN Yuxiu(College of Transportation Science and Engineering,Civil Aviation University of China,Tianjin 300300,China;Civil Aviation Management Institute of China,Beijing 100102,China;China Civil Aviation Environment and Sustainable Development Research Center,Tianjin 300300,China)

机构地区：[1]中国民航大学交通科学与工程学院,天津300300 [2]中国民航管理干部学院,北京100102 [3]中国民航环境与可持续发展研究中心,天津300300

出　　处：《物流科技》2025年第3期109-115,132,共8页Logistics Sci Tech

基　　金：国家社科基金项目(13CGL005);中国民用航空局安全能力建设项目(14002500000020J074)。

摘　　要：在航空网络的拓扑结构和鲁棒性研究背景下,传统的研究由于静态网络模型的局限性,较少关注对航空网络运行效率、疾病传播或航班延误等方面具有显著影响的关键航班。为了更加准确地识别这些关键航班,从而实施针对性的保障与控制,文章采用时序网络模型来构建航空网络,并提出了三种时序边中心性测度:时序边介数、时序度积和路径流介数。这些度量方法将时间因素有效地融入到现有的静态边中心性中。为验证其有效性和适用性,文章在中国、美国和挪威的航空网络中,通过网络效率变化和SIR仿真进行了实证研究。实验结果揭示,时序边介数能够准确地识别出对航空网络运行效率有显著影响的航班,而时序度积则在减小疾病传播范围方面表现出色。这三种时序边中心性度量不仅为航空网络的关键航班识别提供了新的视角,同时也为其他领域的时序网络关键连接识别提供了有力的理论参考。Within the context of the topological structure and robustness research of aviation networks,traditional studies,due to the limitations of static network models,have paid less attention to key flights that significantly impact the operational efficiency of aviation networks,disease transmission,or flight delays.To more accurately identify these key flights and implement targeted safeguards and controls,this study employs a temporal network model to construct aviation networks and introduces three temporal edge centrality measures:Temporal between's centrality,temporal degree product,and path flow intermediacy.These measurement methods effectively incorporate the time factor into the existing static edge centrality.To verify their effectiveness and applicability,empirical research was conducted on the aviation networks of China,the United States,and Norway through changes in network efficiency and SIR simulations.Experimental results reveal that temporal between's centrality can accurately identify flights that significantly influence the operational efficiency of aviation networks,while the temporal degree product excels in reducing the scope of disease transmission.These three temporal edge centrality measures not only provide a new perspective for identifying key flights in aviation networks but also offer a robust theoretical reference for identifying critical connections in temporal networks across other domains.

关 键 词：航空网络 时序网络 边中心性 

分 类 号：F560[经济管理—产业经济]