• DocumentCode
    3157078
  • Title

    A Complex Network Analysis of the United States Air Transportation

  • Author

    Cheung, D.P. ; Gunes, Mehmet Hadi

  • Author_Institution
    Univ. of Nevada, Reno, NV, USA
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    699
  • Lastpage
    701
  • Abstract
    The air transportation industry has a great impact on the economy. In this paper, we analyze the air transportation network in the U.S. to better understand its characteristics. For this, we measure several complex network features including average shortest path, degree distribution, assortative mixing, clustering, betweenness centrality, and resiliency. We also analyzed changes over the previous two decades and compared the networks with earlier air transportation network studies. In our analysis, we did not observe considerable changes in the analyzed complex network features of the U.S. air transportation over the past two decade. Moreover, the U.S. air transportation network exhibits small world characteristics and has an assortative mixing by the degree similar to the earlier study on the world-wide air transportation network. However, the US air transportation network exhibits a partial power law degree distribution unlike the complete power law reported in earlier air transportation networks.
  • Keywords
    airports; macroeconomics; network theory (graphs); pattern clustering; transportation; U.S. air transportation network; United States air transportation network; assortative mixing measurement; average shortest path measurement; betweenness centrality measurement; clustering measurement; complex network analysis; country economy; partial-power law degree distribution measurement; resiliency measurement; small-world network characteristics; Airports; Cities and towns; Complex networks; Industries; Wide area networks; Air transportation; complex networks; network measures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.116
  • Filename
    6425687