Recurrence in the evolution of air transport networks

Abstract Changes in air transport networks over time may be induced by competition among carriers, changes in regulations on airline industry, and socioeconomic events such as terrorist attacks and epidemic outbreaks. Such network changes may reflect corporate strategies of each carrier. In the pres...

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Autores principales:	Kashin Sugishita, Naoki Masuda
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a3d7a1a688f449c2a50eba23ce34b95a
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spelling	oai:doaj.org-article:a3d7a1a688f449c2a50eba23ce34b95a2021-12-02T15:54:02ZRecurrence in the evolution of air transport networks10.1038/s41598-021-84337-z2045-2322https://doaj.org/article/a3d7a1a688f449c2a50eba23ce34b95a2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84337-zhttps://doaj.org/toc/2045-2322Abstract Changes in air transport networks over time may be induced by competition among carriers, changes in regulations on airline industry, and socioeconomic events such as terrorist attacks and epidemic outbreaks. Such network changes may reflect corporate strategies of each carrier. In the present study, we propose a framework for analyzing evolution patterns in temporal networks in discrete time from the viewpoint of recurrence. Recurrence implies that the network structure returns to one relatively close to that in the past. We applied the proposed methods to four major carriers in the US from 1987 to 2019. We found that the carriers were different in terms of the autocorrelation, strength of periodicity, and changes in these quantities across decades. We also found that the network structure of the individual carriers abruptly changes from time to time. Such a network change reflects changes in their operation at their hub airports rather than famous socioeconomic events that look closely related to airline industry. The proposed methods are expected to be useful for revealing, for example, evolution of airline alliances and responses to natural disasters or infectious diseases, as well as characterizing evolution of social, biological, and other networks over time.Kashin SugishitaNaoki MasudaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kashin Sugishita Naoki Masuda Recurrence in the evolution of air transport networks
description	Abstract Changes in air transport networks over time may be induced by competition among carriers, changes in regulations on airline industry, and socioeconomic events such as terrorist attacks and epidemic outbreaks. Such network changes may reflect corporate strategies of each carrier. In the present study, we propose a framework for analyzing evolution patterns in temporal networks in discrete time from the viewpoint of recurrence. Recurrence implies that the network structure returns to one relatively close to that in the past. We applied the proposed methods to four major carriers in the US from 1987 to 2019. We found that the carriers were different in terms of the autocorrelation, strength of periodicity, and changes in these quantities across decades. We also found that the network structure of the individual carriers abruptly changes from time to time. Such a network change reflects changes in their operation at their hub airports rather than famous socioeconomic events that look closely related to airline industry. The proposed methods are expected to be useful for revealing, for example, evolution of airline alliances and responses to natural disasters or infectious diseases, as well as characterizing evolution of social, biological, and other networks over time.
format	article
author	Kashin Sugishita Naoki Masuda
author_facet	Kashin Sugishita Naoki Masuda
author_sort	Kashin Sugishita
title	Recurrence in the evolution of air transport networks
title_short	Recurrence in the evolution of air transport networks
title_full	Recurrence in the evolution of air transport networks
title_fullStr	Recurrence in the evolution of air transport networks
title_full_unstemmed	Recurrence in the evolution of air transport networks
title_sort	recurrence in the evolution of air transport networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a3d7a1a688f449c2a50eba23ce34b95a
work_keys_str_mv	AT kashinsugishita recurrenceintheevolutionofairtransportnetworks AT naokimasuda recurrenceintheevolutionofairtransportnetworks
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Recurrence in the evolution of air transport networks

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