交通运输系统工程与信息 ›› 2011, Vol. 11 ›› Issue (6): 175-181.

• 案例分析 • 上一篇    下一篇

基于复杂网络理论的中国航空网络结构实证研究

曾小舟*a, 唐笑笑a, 江可申b   

  1. 南京航空航天大学 a.民航学院; b. 经济管理学院,南京 210016
  • 收稿日期:2011-08-29 修回日期:2011-10-26 出版日期:2011-12-25 发布日期:2012-01-04
  • 作者简介:曾小舟(1965-),男,四川达州人,副教授,博士.

Empirical Study of Chinese Airline Network Structure Based on Complex Network Theory

ZENG Xiao-zhoua, TANG Xiao-xiaoa, JIANG Ke-shengb   

  1. a. College of Civil Aviation; b. College of Economics and Management,Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2011-08-29 Revised:2011-10-26 Online:2011-12-25 Published:2012-01-04

摘要: 运用复杂网络理论,对中国国内航空网络结构进行了实证分析.研究表明,中国航空网络是一个小世界网络,其度分布服从双段幂律分布.与2005年网络结构比较,其平均最短路径长度和簇系数均下降了,而节点及节点平均度都有增加.节点吞吐量点强度和航距点强度与度均呈现正幂律关系,而且度对节点吞吐量的影响大于对航距的影响.介数与度的分布在总体呈现正相关的趋势下,会出现较大的“波动”性.度度相关呈现异配性,表明度大的节点连接其他度小的节点,节点吞吐量对节点之间连接的影响力要大于航距的影响力.当度值较大时,簇系数与度值呈现明显的幂律分布关系,表明中国航空网络出现了以度值较大的机场为中心的群体结构. 

关键词: 航空运输, 加权相关性;复杂网络;中国国内航空网络;实证研究

Abstract: An empirical study of Chinese domestic airline network structure is conducted by the complex network theory. The study shows that the present Chinese domestic airline network is a small-world network with degree distribution obeying a double power law. Compared with the network structure in 2005, its average mimimum path length and clustering coefficient decrease with the increases of node and average degree. The node throughput, distance strengths and degree correspond to the positive power law. The effect of degree on throughput is more significant than that on distance. The betweenness centrality and degree positively correlated with fluctuations. The degree-degree correlation of the present network is negative, which shows the nodes with large degree prefer to be connected to other nodes with small degree and the effect of throughput on connection between nodes is greater than the effect of distance. When the degree value is high, the clustering coefficient distribution on degree obviously follows power-law. It indicates that the group structure centering around airports with large degree has appeared in Chinese airline network.

Key words: air transportation, weighted assortativity, complex network, Chinese domestic airline network, empirical study

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