国际航空网络与国际关系网络的特征提取及关联分析  

Association Analysis and Feature Extraction of International Aviation Network and International Relation Network

作　　者：秦昆[1] 张凯 阮建平[2] 卢宾宾[1] 邢玲丽 叶茹琪 喻雪松 周扬 刘东海 秦育罗 QIN Kun;ZHANG Kai;RUAN Jianping;LU Binbin;XING Lingli;YE Ruqi;YU Xuesong;ZHOU Yang;LIU Donghai;QIN Yuluo(Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;School of Political Science and Administration,Wuhan University,Wuhan 430072,China;College of Surveying and Geo-informatics,Liaoning Technical University,Fuxin 123000,China)

机构地区：[1]武汉大学遥感信息工程学院,湖北武汉430079 [2]武汉大学政治与公共管理学院,湖北武汉430072 [3]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000

出　　处：《同济大学学报（自然科学版）》2023年第7期986-993,共8页Journal of Tongji University:Natural Science

基　　金：国家自然科学基金(42171448)。

摘　　要：为了探索国际关系与国际航空交通的相互影响,通过国际航空网络探测各国各地区之间人员交流、贸易往来关系;通过国际关系网络探索各国各地区之间的合作、冲突等国际关系。以国家为节点、国家之间的航空交通或国际关系为边,并嵌入地理空间,构建地理多元流网络,提取其时空特征,并分析其关联关系,分析和探索国际关系网络与国际航空网络间的关系和相互影响。利用2013-2022年10年的OAG (官方航线指南)数据、GDELT(全球事件、语调与语言)数据,分别构建国际航空网络、国际关系网络,基于复杂网络理论和社会网络分析方法提取2种主题网络的时空特征,并探索其关联。研究结果表明:(1) 2种网络都具有无标度特性和小世界特性;(2) 2种网络的规模都具有先升后降的趋势,国际关系网络规模的峰值出现在2015-2016年,国际航空网络规模的峰值出现在2020年;(3) 2种网络的节点和结构具有相似性,但是自俄乌冲突发生后,相似性显著降低;(4)国际关系网络对国际航空网络的影响具有时间滞后性。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.

关 键 词：国际航空网络 国际关系网络 复杂网络 社会网络 特征提取 关联分析 

分 类 号：P283[天文地球—地图制图学与地理信息工程]