Abstract
With the fast development of the society economy in recent years, the Chinese aviation network is playing a more and more critical and irreplaceable developing role in today’s integrated transportation system. In this paper, an empirical structural analysis of Chinese airline network is made utilizing complex network theory. The results show that the presented network is a small network with two regime pow-law degree distribution. Meanwhile, the betweenness-degree relevance takes a positive correlated relationship, while its node average degree-degree relevance is obviously negative assortative reflecting high degree nodes preferring to relate to small degree nodes, and the clustering coefficient distribution between degree follows negative correlated relationship reflecting node with small degree tends to cluster into group.
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References
Newman MEJ (2001) Scientific collaboration networks. II shortest path, weighted networks and centrality. Phys E 64(1):016132
Pastor-Satorras R, Vazquez A, Vespignani A (2001) Dynamical and correlation properties of the internet. Phys Rev Lett 87:258701
Barthelemy M, Flammini A (2008) Modeling urban street patterns. Phys Rev Lett 100:138702
Watts DJ, Strogatz SH (1998) Collective dynamics of small-world networks. Nature 393:440–442
Albert R, Barabasi AL (2002) Statistical mechanics of complex networks. Rev Mod Phys 74(1):47–97
Barrat A, Barthelemy M (2005) Vespignani A (2005) The effects of spatial constraints on the evolution of weighted complex networks. J Stat Mech: Theory Exp 5:P05003 J Stat Meth
Hong C, Zhang J et al (2016) Structural properties of the Chinese air transportation multilayer network. Chaos Solitons Fractals 86:28–34
Amaral LAN, Scala A, Barthelemy M, Stanley HE (2000) Classes of small-world networks. Proc Natl Acad Sci USA 97(21):11149–11152
Guimera R, Amaral LAN (2004) Modeling the world-wide airport network. Eur Phys J B 38:381–385
Bagler G (2008) Analysis of the airport network of India as a complex weighted network. Phys A 387:2972–2980
Zeng X, Tang X, Jiang K (2011) Empirical study of Chinese airline network structure based on complex network theory. J Transp Syst Eng Inf Technol 11(6):175–181
Acknowledgment
Thanks to the support with Chinese airline data provided by Aviation Data Communication Cooperation, a joint venture co-founded by Air Traffic Management Bureau and some major domestic airlines. Thanks to the fund support of National Natural Science Foundation of China Civil Aviation Joint Foundation (GrantNo. U1533127) and Foundation of Scientific research innovation team in Civil Aviation Flight University of China (GrantNo. JG2017-26).
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Yang, Y., Xu, K., Wu, J. (2019). Empirical Structural Analysis on Chinese Airline Network. In: Zhang, X. (eds) The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018). APISAT 2018. Lecture Notes in Electrical Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-13-3305-7_223
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DOI: https://doi.org/10.1007/978-981-13-3305-7_223
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