Structural and spectral properties of generative models for synthetic multilayer air transportation networks

To understand airline transportation networks (ATN) systems we can effectively represent them as multilayer networks, where layers capture different airline companies, the nodes correspond to the airports and the edges to the routes between the airports. We focus our study on the importance of lever...

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Autores principales:	Marzena Fügenschuh, Ralucca Gera, José Antonio Méndez-Bermúdez, Andrea Tagarelli
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4fa2bb0fa99347fcb44028c70a829a0b
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spelling	oai:doaj.org-article:4fa2bb0fa99347fcb44028c70a829a0b2021-11-04T06:07:15ZStructural and spectral properties of generative models for synthetic multilayer air transportation networks1932-6203https://doaj.org/article/4fa2bb0fa99347fcb44028c70a829a0b2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530325/?tool=EBIhttps://doaj.org/toc/1932-6203To understand airline transportation networks (ATN) systems we can effectively represent them as multilayer networks, where layers capture different airline companies, the nodes correspond to the airports and the edges to the routes between the airports. We focus our study on the importance of leveraging synthetic generative multilayer models to support the analysis of meaningful patterns in these routes, capturing an ATN’s evolution with an emphasis on measuring its resilience to random or targeted attacks and considering deliberate locations of airports. By resorting to the European ATN and the United States ATN as exemplary references, in this work, we provide a systematic analysis of major existing synthetic generation models for ATNs, specifically ANGEL, STARGEN and BINBALL. Besides a thorough study of the topological aspects of the ATNs created by the three models, our major contribution lays on an unprecedented investigation of their spectral characteristics based on Random Matrix Theory and on their resilience analysis based on both site and bond percolation approaches. Results have shown that ANGEL outperforms STARGEN and BINBALL to better capture the complexity of real-world ATNs by featuring the unique properties of building a multiplex ATN layer by layer and of replicating layers with point-to-point structures alongside hub-spoke formations.Marzena FügenschuhRalucca GeraJosé Antonio Méndez-BermúdezAndrea TagarelliPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marzena Fügenschuh Ralucca Gera José Antonio Méndez-Bermúdez Andrea Tagarelli Structural and spectral properties of generative models for synthetic multilayer air transportation networks
description	To understand airline transportation networks (ATN) systems we can effectively represent them as multilayer networks, where layers capture different airline companies, the nodes correspond to the airports and the edges to the routes between the airports. We focus our study on the importance of leveraging synthetic generative multilayer models to support the analysis of meaningful patterns in these routes, capturing an ATN’s evolution with an emphasis on measuring its resilience to random or targeted attacks and considering deliberate locations of airports. By resorting to the European ATN and the United States ATN as exemplary references, in this work, we provide a systematic analysis of major existing synthetic generation models for ATNs, specifically ANGEL, STARGEN and BINBALL. Besides a thorough study of the topological aspects of the ATNs created by the three models, our major contribution lays on an unprecedented investigation of their spectral characteristics based on Random Matrix Theory and on their resilience analysis based on both site and bond percolation approaches. Results have shown that ANGEL outperforms STARGEN and BINBALL to better capture the complexity of real-world ATNs by featuring the unique properties of building a multiplex ATN layer by layer and of replicating layers with point-to-point structures alongside hub-spoke formations.
format	article
author	Marzena Fügenschuh Ralucca Gera José Antonio Méndez-Bermúdez Andrea Tagarelli
author_facet	Marzena Fügenschuh Ralucca Gera José Antonio Méndez-Bermúdez Andrea Tagarelli
author_sort	Marzena Fügenschuh
title	Structural and spectral properties of generative models for synthetic multilayer air transportation networks
title_short	Structural and spectral properties of generative models for synthetic multilayer air transportation networks
title_full	Structural and spectral properties of generative models for synthetic multilayer air transportation networks
title_fullStr	Structural and spectral properties of generative models for synthetic multilayer air transportation networks
title_full_unstemmed	Structural and spectral properties of generative models for synthetic multilayer air transportation networks
title_sort	structural and spectral properties of generative models for synthetic multilayer air transportation networks
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4fa2bb0fa99347fcb44028c70a829a0b
work_keys_str_mv	AT marzenafugenschuh structuralandspectralpropertiesofgenerativemodelsforsyntheticmultilayerairtransportationnetworks AT raluccagera structuralandspectralpropertiesofgenerativemodelsforsyntheticmultilayerairtransportationnetworks AT joseantoniomendezbermudez structuralandspectralpropertiesofgenerativemodelsforsyntheticmultilayerairtransportationnetworks AT andreatagarelli structuralandspectralpropertiesofgenerativemodelsforsyntheticmultilayerairtransportationnetworks
_version_	1718445149068984320

Structural and spectral properties of generative models for synthetic multilayer air transportation networks

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