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Community structure detection in the evolution of the United States Airport Network

Gegov, Emil, Postorino, M. Nadia, Atherton, Mark and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2013) Community structure detection in the evolution of the United States Airport Network. Advances in Complex Systems, 16 (1). ISSN 0219-5259

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Identification Number: 10.1142/S0219525913500033


This paper investigates community structure in the US Airport Network as it evolved from 1990 to 2010 by looking at six bi-monthly intervals in 1990, 2000 and 2010, using data obtained from the Bureau of Transportation Statistics of the US Department of Transport. The data contained monthly records of origin/destination pairs of domestic airports and the number of passengers carried. The topological properties and the volume of people traveling are both studied in detail, revealing high heterogeneity in space and time. A recently developed community structure detection method, accounting for the spatial nature of these networks, is applied and reveals a picture of the communities within. The patterns of communities plotted for each bi-monthly interval reveal some interesting seasonal variations of passenger flows and airport clusters that do not occupy a single US region. The long-term evolution of the network between those years is explored and found to have consistently improved its stability. The more recent structure of the network (2010) is compared with migration patterns among the four US macro-regions (West, Midwest, Northeast and South) in order to identify possible relationships and the results highlight a clear overlap between US domestic air travel and migration.

Item Type: Article
Official URL:
Additional Information: © 2013 World Scientific Publishing Co Pte Ltd
Divisions: CPNSS
Subjects: H Social Sciences > HE Transportation and Communications
H Social Sciences > HN Social history and conditions. Social problems. Social reform
Date Deposited: 02 Nov 2019 15:48
Last Modified: 16 May 2024 02:54

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