中国航线网络结构的多层性分析

文摘   2025-02-06 20:20   山东  

徐开俊 吴佳益 杨泳 梁磊

中国民用航空飞行学院飞行技术学院

摘要为了更深入研究中国航线网络的拓扑特性中的细节问题,运用复杂网络理论,将每个航空公司定义为网络中的一个层并建立多层网络模型,仿真逐层合并过程中网络特征参数的演变,探讨中国航空多层网络(CAMN)的拓扑新特性。结果表明,CAMN总度值呈现幂律分布,总度值高的五大机场其度值在各航空公司间分布均匀;中国航空多层网络在聚合过程中都呈现无标度网络特性,而“小世界网络”特性仅在较多数量层的网络聚合时明显,且成规模的航空公司合作使网络的运输效率更高;中国航空聚合网络的“小世界”现象主要是由大中型航空公司对应层引起,大中型航空公司网络的运输效率比廉价航空公司网络高,但同质性更低。

关键词: 中国航线网络复杂网络多层网络拓扑特性    

基金资助: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创新团队支持计划(JG2019-15); 中国民航飞行学院研究生创新项目(X2018-2)

Multilayered Analysis of Chinese Airline Network Structure

XU Kaijun, WU Jiayi, YANG Yong, LIANG Lei

Department of Flight Technology, Civil Aviation Flight University of China

Abstract:To further study the details of the topological characteristics of Chinese airline network, this work explored the new topological features of China Aviation Multi-layer Network (CAMN) based on complex network theory. We defined each airline as a layer in network and established a multi-layer network by simulating the evolution of network characteristic parameters in the layer-by-layer process. The results indicate that overlapping degree value of CAMN obeys a power-law distribution and five airports with highest overlapping value are uniformly distributed among airlines. Meanwhile, CAMN presents the characteristics of scale-free networks in aggregation, but characteristics of the small world network can only be obviously observed in aggregation of multi-layer networks. Further, the cooperation of large-scale airlines makes network more efficient. The phenomenon of small world in Chinese aviation aggregation network is mainly caused by the corresponding layer of large and medium-sized airlines. The transportation efficiency of large and medium-sized airline networks is higher than that of low-cost airlines, but the homogeneity is poorer.

Keywords:Chinese airline network; complex network; multi-layer network; topological features

作者介绍:

第一作者:徐开俊(1981-),男,四川成都人,博士后,教授,主要研究方向为情感认知及航空网络。

引用本文:  

徐开俊, 吴佳益, 杨泳, 梁磊. 中国航线网络结构的多层性分析[J]. 复杂系统与复杂性科学, 2020, 17(2): 39-46.
XU Kaijun, WU Jiayi, YANG Yong, LIANG Lei. Multilayered Analysis of Chinese Airline Network Structure[J]. Complex Systems and Complexity Science, 2020, 17(2): 39-46.

↓↓↓全文请点下方阅读原文

复杂系统与复杂性科学
《复杂系统与复杂性科学》官方公众号,定期发布期刊动态、目录及重要文章,分享复杂性科学领域的新动态,为广大科研工作者搭建学术交流的平台。
 最新文章