The Structure of the International Air Network through the Social Network Analysis

被引:0
|
作者
Lee, Ho-Sang [1 ]
机构
[1] Univ Tsukuba, Div Spatial Informat Sci, Doctoral Program Geoenvironm Sci, Grad Sch Life & Environm Sci, Tsukuba, Ibaraki, Japan
关键词
social network analysis; networkability; connectivity; global network; international air passenger flow;
D O I
暂无
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This study aimed at examining the structure of the international air network through the analysis of inter-city spatial interactions. For this purpose, this study applied a modified social network analysis model to examine spatial interactions between cities. The international networkability of cities and the connectivity of the international air routes were measured in the international air network in 1992 and 2004. The connection system between cities was analyzed, using air routes that show the maximum connectivity of each city. The connection system, composed of cities with high networkability in the global network, and the changes were also examined. As a result, the analysis of the nearest-neighbor distance between the cities revealed that in both 1992 and 2004, the center of the global network was formed around London through connections to Paris, New York, Amsterdam, and Frankfurt, and most of the cities in Europe and America were connected to London. The Asian cities, however, formed a different connection system around such cities as Tokyo, Singapore, and Hong Kong. In the connection system of the global network, the Asian cities showed dynamic changes in their connection patterns.
引用
收藏
页码:985 / 996
页数:12
相关论文
共 50 条
  • [1] Correlating performance with social network structure through teaching social network analysis
    Gloor, Peter
    Paasivaara, Maria
    Schoder, Detlef
    Willems, Paul
    [J]. NETWORK-CENTRIC COLLABORATION AND SUPPORTING FRAMEWORKS, 2006, 224 : 265 - +
  • [2] Online Extremism Discovering through Social Network Structure Analysis
    Petrovskiy, Mikhail
    Chikunov, Maxim
    [J]. 2019 IEEE 2ND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTER TECHNOLOGIES (ICICT), 2019, : 243 - 249
  • [3] Network Structure of International Technology Diffusion: A Network Analysis Approach
    Shih, Hsin-Yu
    Chang, Tung-lung Steven
    [J]. BEYOND BORDERS: NEW GLOBAL MANAGEMENT DEVELOPMENT CHALLENGES AND OPPORTUNITIES, 2007, 16 : 685 - +
  • [4] Social network analysis as a tool for the analysis of the international trade network of aquatic products
    Yu, Jin-Kai
    Ma, Jian-Qiu
    [J]. AQUACULTURE INTERNATIONAL, 2020, 28 (03) : 1195 - 1211
  • [5] Social network analysis as a tool for the analysis of the international trade network of aquatic products
    Jin-Kai Yu
    Jian-Qiu Ma
    [J]. Aquaculture International, 2020, 28 : 1195 - 1211
  • [6] THE INTERNATIONAL TRADE OF SHELLED FRUIT: A LONGITUDINAL ANALYSIS THROUGH SOCIAL NETWORK APPROACH
    Pappalardo, Gioacchino
    Allegra, Valeria
    Chinnici, Gaetano
    Bracco, Salvatore
    Zarba, Alfonso Silvio
    [J]. SGEM 2016, BK 2: POLITICAL SCIENCES, LAW, FINANCE, ECONOMICS AND TOURISM CONFERENCE PROCEEDINGS, VOL V, 2016, : 825 - 832
  • [7] Inquiring Structure and Forms of Collaboration in Tourism through Social Network Analysis
    Cehan, Alexandra
    Eva, Mihail
    Iatu, Corneliu
    Costa, Carlos
    [J]. SUSTAINABILITY, 2020, 12 (19)
  • [8] Exploration of the global air transport network using social network analysis
    Prabhakar, Nikhilesh
    Anbarasi, L. Jani
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2021, 11 (01)
  • [9] Brazilian Air Traffic Network Analysis Using Social Network Metrics
    Anbarasi, L. Jani
    Jawahar, Malathy
    Mukherjee, Bipasa
    Narendra, Modigari
    Rahimi, Masoumeh
    Gandomi, Amir H.
    [J]. 2022 9TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE, ISCMI, 2022, : 264 - 269
  • [10] Exploration of the global air transport network using social network analysis
    Nikhilesh Prabhakar
    L. Jani Anbarasi
    [J]. Social Network Analysis and Mining, 2021, 11