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Empirical Analysis on Flight Training Network Invulnerability |
YANG Yong1,XU Kaijun1,YAO Yusheng1,XIANG Honghui2,WU Jiayi1
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1.Department of Flight Technology, Civil Aviation Flight University of China, Guanghan 618307, China; 2.AECC Sichuan Gas Turbine Establishment, Jiangyou 621703, China |
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Abstract To improve the safety and reliability during flight training, the actual flight training network data was empirical investigated using the complex network theory. The relative size of maximum connected sub-graph size and network overall efficiency are adopted to investigate the network invulnerability under random and deliberate attack against node attack and edge attack separately. The simulation results indicate that FTN shows fundamental scale-free and small world network characteristics, and strong robustness to random attack and obvious invulnerability to the deliberate attack under node attack, while FTN shows partly robustness to both random attack and deliberate attack under edge attack. Thus, it can be seen that the invulnerability of FTN was maintained by a small number of key airports with high degree or betweenness, which will cause network paralysis with sharply decreasing efficiency and rapidly worsening connected reliability in case of its damage inactivation.
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Published: 16 May 2019
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