春运期间中国航空网络拓扑结构实证分析  

An Empirical Analysis of China’s Aviation Network Topology During Spring Festival

作　　者：杨泳 徐开俊[1] 李珊珊 吴佳益 YANG Yong;XU Kaijun;LI Shanshan;WU Jiayi(Department of Flight Technology, Civil Aviation FlightUniversity of China, Guanghan 618307, China)

机构地区：[1]中国民用航空飞行学院

出　　处：《武汉理工大学学报（交通科学与工程版）》2019年第3期410-413,共4页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：国家自然科学基金民航联合基金(U1533127);中国民用航空飞行学院认知工程及情感计算研究创新团队(JG2018-26)资助

摘　　要：运用复杂网络理论,以国内机场为节点,以机场之间形成的直飞航班为边,对春运期间所有国内航空公司运行航班形成的中国航空网络拓扑结构进行了实证分析.结果表明,该网络是小世界网络,即具有较短的平均路径长度和较大的聚类系数,且其度/累计度分布满足双段幂率分布的无标度特性.介-度相关性表明两者在总体正相关趋势下,在度值较小时呈现出较大的"波动性";聚-度相关性表明两者呈现较明显的层次特征和负相关性,说明度小的城市比度大的城市更倾向于集聚成团;而度-度相关性表明两者在较大度节点处呈现明显的负相关性,说明度大的机场倾向于连接度小的机场.Using the complex network theory, taking domestic airports as nodes and the direct flights between airports as edges, this paper made an empirical analysis on the topological structure of China's aviation network formed by all domestic airlines during the Spring Festival. The results show that the network is a small-world network, that is, it has a short average path length and a large clustering coefficient, and its degree/cumulative degree distribution satisfies the scale-free characteristic of two-segment power-law distribution. Furthermore, the betweenness-degree correlation shows obvious fluctuation especially in low level of degree despite remarkable heterogeneous trend, while the clustering-degree correlation indicates obvious hierarchy characteristics and negative degree-clustering correlation, indicating that cities with small degrees tend to aggregate more tha n cities with large degrees. However, the degree-degree correlation shows that it has obvious negative correlation at the nodes with large degree, which indicates that airports with large degree tend to connect airports with small degree.

关 键 词：复杂网络 中国航空网络 小世界网络 无标度 度分布 

分 类 号：U8[交通运输工程]