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Analysis of Chinese airport network characteristics based on multi-layer temporal network model
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Jiuxia GUO1, Hongyi LI2, Song WEI3, Wei YE4, Chao WANG5
China Safety Science Journal | 2024, 34(10) : 71 - 79
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China Safety Science Journal | 2024, 34(10): 71-79
Safety engineering technology
Analysis of Chinese airport network characteristics based on multi-layer temporal network model
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Jiuxia GUO1, Hongyi LI2, Song WEI3, Wei YE4, Chao WANG5
Affiliations
  • 1 School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan Sichuan 618307,China
  • 2 Airport Construction Planning Department,Hainan Airport Facilities Co.,Ltd.,Haikou Hainan 570204,China
  • 3 Flight Planning Department,Civil Aviation Administration Operation Monitoring Center,Beijing 100710,China
  • 4 Air Traffic Control Center,Civil Aviation Flight University of China,Guanghan Sichuan 618307,China
  • 5 School of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China
Published: 2024-10-28 doi: 10.16265/j.cnki.issn1003-3033.2024.10.0082
Outline
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To address the problem of incomplete reflection of network structure characteristics and data distortion in static network models used in dynamic systems,an airport network structure analysis method based on a temporal complex network model was proposed by introducing time attributes. Network characteristic indicators such as nodal temporal degree,temporal centrality,temporal betweenness centrality,and temporal closeness centrality were analyzed. Then,the structural properties of CAN were investigated. Moreover,crucial airport nodes within the temporal network were identified and ranked,and the reasons for the heterogeneous node generation were analyzed. The results indicated that the temporal network structure of Chinese airports presented scale-free network characteristics. The average temporal distance values of CAN vary significantly with the maximum being 6.06 times the minimum. ZWWW (Urumqi Diwopu International Airport) and ZBHH (Hohhot Baita International Airport) represented relatively higher temporal betweenness centrality than other indicators,playing an important central role in the network. However,ZGSZ (Shenzhen Bao'an International Airport) had a higher temporal degree of centrality than other indicators.

temporal network  /  Chinese airport network (CAN)  /  multi-layer temporal network model (MTNM)  /  network characteristics indicator  /  power distribution
Jiuxia GUO, Hongyi LI, Song WEI, Wei YE, Chao WANG. Analysis of Chinese airport network characteristics based on multi-layer temporal network model[J]. China Safety Science Journal, 2024 , 34 (10) : 71 -79 . DOI: 10.16265/j.cnki.issn1003-3033.2024.10.0082
Year 2024 volume 34 Issue 10
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.10.0082
  • Receive Date:2024-04-19
  • Online Date:2025-07-09
  • Published:2024-10-28
Article Data
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History
  • Received:2024-04-19
  • Revised:2024-07-20
Funding
Affiliations
    1 School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan Sichuan 618307,China
    2 Airport Construction Planning Department,Hainan Airport Facilities Co.,Ltd.,Haikou Hainan 570204,China
    3 Flight Planning Department,Civil Aviation Administration Operation Monitoring Center,Beijing 100710,China
    4 Air Traffic Control Center,Civil Aviation Flight University of China,Guanghan Sichuan 618307,China
    5 School of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China
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表12种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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