Analysis of the Chinese Airline Network as multi-layer networks |
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| Institution: | 1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, PR China;2. National Key Laboratory of CNS/ATM, Beijing 100191, PR China;3. Beijing Laboratory for General Aviation Technology, Beijing 100191, PR China;4. Universitat Politécnica de Catalunya-BarcelonaTech, C/Colom no. 11, Terrassa 08222, Spain;5. Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan;6. Aviation Data Communication Corporation, Beijing 100191, PR China;1. Departamento de Matemática Aplicada e Estatística, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo - Campus de São Carlos, Caixa Postal 668, 13560-970 São Carlos, SP, Brazil;2. Institute for Biocomputation and Physics of Complex Systems (BIFI) & Department of Theoretical Physics, University of Zaragoza, 50018 Zaragoza, Spain;3. Complex Networks and Systems Lagrange Lab, Institute for Scientific Interchange, Turin, Italy;1. Universitat Politècnica de Catalunya – BarcelonaTech, C/Colom no. 11, Terrassa 08222, Spain;2. Volotea, Travessera de Gràcia, 56, Barcelona 08006, Spain |
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| Abstract: | This paper encapsulates the Chinese Airline Network (CAN) into multi-layer infrastructures via the “k-core decomposition” method. The network is divided into three layers: Core layer, containing airports of provincial capital cities, is densely connected and sustains most flight flow; Bridge layer, consisting of airports in Tier 2 and Tier 3 cities, mainly connects two other layers; and Periphery layer, comprising airports of remote areas, sustains little flight flow. Moreover, it is unveiled that CAN stays the most robust when low-degree nodes or high flight flow links are removed, which is similar to the Worldwide Airline Network (WAN), albeit less redundant. |
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| Keywords: | Air transport network Chinese Airline Network |
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