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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Key Node Identification Method for Aviation Network Based on Support Vector Machines

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DOI: 10.25236/cseem.2020.003


Haiqing Huang, Xusheng Gan, Xu Yao, Fei Liu

Corresponding Author

Xusheng Gan


Accurately identifying the key nodes of aviation network through technical means has important theoretical significance and reference value for the normal operation of aviation network in peacetime and defense and repair in wartime. A key node identification method based on Support Vector Machines (SVM) is proposed. Firstly, it evaluates the comprehensive importance of nodes based on analytic hierarchy process (AHP). Then, it selects three simple indices and establishes the importance evaluation model based on the mapping relationship between simple indices and comprehensive importance of SVM. The simulation on American aviation network indicates that it can obtain satisfactory identification effect.


Aviation Network, Support Vector Machines, Key Node Identification, Analytic Hierarchy Process