TY - GEN
T1 - A complex network analysis of the united states air transportation
AU - Cheung, Dorothy P.
AU - Gunes, Mehmet Hadi
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Air transportation
KW - Complex networks
KW - Network measures
UR - http://www.scopus.com/inward/record.url?scp=84874282576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874282576&partnerID=8YFLogxK
U2 - 10.1109/ASONAM.2012.116
DO - 10.1109/ASONAM.2012.116
M3 - Conference contribution
AN - SCOPUS:84874282576
SN - 9780769547992
T3 - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
SP - 699
EP - 701
BT - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
T2 - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
Y2 - 26 August 2012 through 29 August 2012
ER -