Scipediacontent: Scipediacontent moved page Draft Content 904789336 to Witlox et al 2019a

2021-02-12T12:59:16Z

Scipediacontent moved page Draft Content 904789336 to Witlox et al 2019a

Scipediacontent: Created page with " == Abstract == In this paper, we develop a route-traffic-based method for detecting community structures in airline networks. Our model is both an application and an extensi..."

2021-02-12T12:59:11Z

Created page with " == Abstract == In this paper, we develop a route-traffic-based method for detecting community structures in airline networks. Our model is both an application and an extensi..."

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== Abstract ==

In this paper, we develop a route-traffic-based method for detecting community structures in airline networks. Our model is both an application and an extension of the Clauset-Newman-Moore (CNM) modularity maximization algorithm, in that we apply the CNM algorithm to large airline networks, and take both route distance and passenger volumes into account. Therefore, the relationships between airports are defined not only based on the topological structure of the network but also by a traffic-driven indicator. To illustrate our model, two case studies are presented: American Airlines and Southwest Airlines. Results show that the model is effective in exploring the characteristics of the network connections, including the detection of the most influential nodes and communities on the formation of different network structures. This information is important from an airline operation pattern perspective to identify the vulnerability of networks.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_904789336-beopen255-1769-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://downloads.hindawi.com/journals/jat/2019/3032015.pdf http://downloads.hindawi.com/journals/jat/2019/3032015.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2019/3032015 http://dx.doi.org/10.1155/2019/3032015] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2019/3032015.pdf http://downloads.hindawi.com/journals/jat/2019/3032015.pdf],
: [http://downloads.hindawi.com/journals/jat/2019/3032015.xml http://downloads.hindawi.com/journals/jat/2019/3032015.xml],
: [http://dx.doi.org/10.1155/2019/3032015 http://dx.doi.org/10.1155/2019/3032015] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2019/3032015 http://dx.doi.org/10.1155/2019/3032015],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://biblio.ugent.be/publication/8659540 https://biblio.ugent.be/publication/8659540],
: [http://hdl.handle.net/1854/LU-8659540 http://hdl.handle.net/1854/LU-8659540],
: [http://dx.doi.org/10.1155/2019/3032015 http://dx.doi.org/10.1155/2019/3032015],
: [https://biblio.ugent.be/publication/8659540/file/8659541 https://biblio.ugent.be/publication/8659540/file/8659541]

* [https://www.hindawi.com/journals/jat/2019/3032015 https://www.hindawi.com/journals/jat/2019/3032015],
: [http://downloads.hindawi.com/journals/jat/2019/3032015.pdf http://downloads.hindawi.com/journals/jat/2019/3032015.pdf],
: [https://biblio.ugent.be/publication/8659540 https://biblio.ugent.be/publication/8659540],
: [https://biblio.ugent.be/publication/8659540/file/8659541.pdf https://biblio.ugent.be/publication/8659540/file/8659541.pdf],
: [https://academic.microsoft.com/#/detail/2997422508 https://academic.microsoft.com/#/detail/2997422508]

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Witlox et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 904789336 to Witlox et al 2019a

Scipediacontent: Created page with " == Abstract == In this paper, we develop a route-traffic-based method for detecting community structures in airline networks. Our model is both an application and an extensi..."