Association Analysis and Feature Extraction of International Aviation Network and International Relation Network
CSTR:
Author:
Affiliation:

1.Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;2.School of Political Science and Administration, Wuhan University, Wuhan 430072, China;3.College of Surveying and Geo-informatics, Liaoning Technical University, Fuxin 123000, China

Clc Number:

P283

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    It is very important to extract spatiotemporal characteristics from international aviation network and international relation network, and to analyze the association between them. The international aviation network is a kind of transportation network in the material world formed by personnel mobility and trade among countries or regions. The international relation network is a kind of social relation network in the virtual world formed by international relations such as cooperation or conflict among countries or regions. This paper, taking the countries or regions as nodes, the aviation transportation or the international relations as edges, and embedding them into geographic space, builds a geographic multiple flow network, and explores the association between them. It builds the international aviation network and the international relation network based on the airline schedule provided by OAG data and the GDELT data over the past decade. It extracts the characteristics of the two kinds of networks and explores their association based on the theories and methods of complex network and social network analysis. The research results show that both networks have scale-free properties and small world effects. The scale of the two kinds of networks shows a common trend of first increase and then decrease. The scale of the international relation network peaked in 2015 and 2016, but the counterpart of the international airport network peaked in 2020. The structures of the two kinds of networks are similar, but the similarity decreases significantly after the Russia-Ukraine conflict. There is a time lag in influence of the international relation network on the international aviation network.

    Reference
    Related
    Cited by
Get Citation

QIN Kun, ZHANG Kai, RUAN Jianping, LU Binbin, XING Lingli, YE Ruqi, YU Xuesong, ZHOU Yang, LIU Donghai, QIN Yuluo. Association Analysis and Feature Extraction of International Aviation Network and International Relation Network[J].同济大学学报(自然科学版),2023,51(7):986~993

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 03,2023
  • Revised:
  • Adopted:
  • Online: July 25,2023
  • Published:
Article QR Code