Paper Info
Title
A Complex Network Analysis of the United States Air Transportation
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.
Year
DOI
Venue
2012
10.1109/ASONAM.2012.116
Advances in Social Networks Analysis and Mining
Keywords
Field
DocType
complex network analysis,degree distribution,earlier air transportation network,united states air transportation,world-wide air transportation network,air transportation industry,complex network feature,us air transportation network,air transportation network,u.s. air transportation network,complex network,u.s. air transportation,transportation,power law,betweenness centrality,shortest path,air transport,macroeconomics
Assortative mixing,Data mining,Shortest path problem,Computer science,Simulation,Transport engineering,Aviation,Betweenness centrality,Complex network,Degree distribution,Complex network analysis,Cluster analysis
Conference
ISBN
Citations 
PageRank 
978-1-4673-2497-7
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Dorothy P. Cheung110.35
Mehmet Hadi Günes214916.19