Space independent community structure detection in United States air transportation

Emil Gegov; Alexander Gegov; Nadia Postorino; Mark Atherton; Fernand Gobet

doi:10.3182/20120912-3-BG-2031.00001

Space independent community structure detection in United States air transportation

Emil Gegov
, Alexander Gegov
, Nadia Postorino
, Mark Atherton
, Fernand Gobet

School of Computing

Research output: Contribution to journal › Article › peer-review

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Abstract

This article presents an evolution-based model for the US airport network. The topological properties and the volume of people travelling 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, reveals a better picture of the communities within.

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	IFAC Proceedings Volumes
Volume	45
Issue number	24
DOIs	https://doi.org/10.3182/20120912-3-BG-2031.00001
Publication status	Published - 2012
Event	13th IFAC Symposium on Control in Transportation Systems - Sophia, Bulgaria Duration: 12 Sept 2012 → 14 Sept 2012

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title = "Space independent community structure detection in United States air transportation",

abstract = "This article presents an evolution-based model for the US airport network. The topological properties and the volume of people travelling 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, reveals a better picture of the communities within.",

author = "Emil Gegov and Alexander Gegov and Nadia Postorino and Mark Atherton and Fernand Gobet",

year = "2012",

doi = "10.3182/20120912-3-BG-2031.00001",

language = "English",

volume = "45",

pages = "1--6",

journal = "IFAC Proceedings Volumes",

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note = "13th IFAC Symposium on Control in Transportation Systems ; Conference date: 12-09-2012 Through 14-09-2012",

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AU - Gegov, Emil

AU - Gegov, Alexander

AU - Postorino, Nadia

AU - Atherton, Mark

AU - Gobet, Fernand

PY - 2012

Y1 - 2012

N2 - This article presents an evolution-based model for the US airport network. The topological properties and the volume of people travelling 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, reveals a better picture of the communities within.

AB - This article presents an evolution-based model for the US airport network. The topological properties and the volume of people travelling 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, reveals a better picture of the communities within.

U2 - 10.3182/20120912-3-BG-2031.00001

DO - 10.3182/20120912-3-BG-2031.00001

M3 - Article

SN - 1474-6670

VL - 45

SP - 1

EP - 6

JO - IFAC Proceedings Volumes

JF - IFAC Proceedings Volumes

IS - 24

T2 - 13th IFAC Symposium on Control in Transportation Systems

Y2 - 12 September 2012 through 14 September 2012

ER -

Space independent community structure detection in United States air transportation

Abstract

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