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An effective distance-based centrality approach for exploring the centrality of maritime shipping network

Centrality has always been used in transportation networks to estimate the status and importance of a node in the networks, especially in the shipping networks. However, most of the studies only take the shipping network as an unweighted network or only considering the tie weights in the weighted ne...

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Autores principales: Kuang, Zengjie, Liu, Chanjuan, Wu, Jinran, Wang, You-Gan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674506/
https://www.ncbi.nlm.nih.gov/pubmed/36411891
http://dx.doi.org/10.1016/j.heliyon.2022.e11474
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author Kuang, Zengjie
Liu, Chanjuan
Wu, Jinran
Wang, You-Gan
author_facet Kuang, Zengjie
Liu, Chanjuan
Wu, Jinran
Wang, You-Gan
author_sort Kuang, Zengjie
collection PubMed
description Centrality has always been used in transportation networks to estimate the status and importance of a node in the networks, especially in the shipping networks. However, most of the studies only take the shipping network as an unweighted network or only considering the tie weights in the weighted networks, ignoring the truth that both the number of ties and tie weights contribute to the centrality in weighted shipping networks. Therefore, we proposed a new method combining both the number of ties and tie weights to assess the node centrality based on effective distance by integrating the studies of Opsahl et al., (2010) and Du et al., (2015). An empirical analysis of shipping network at the country level for the 21st-centrtury Maritime Silk Road (MSR) was performed. The result of correlation analysis between country's degree centrality and the Liner Shipping Connectivity Index (LSCI) published by the United Nations Conference on Trade and Development (UNCTAD) proved the superiority of our method compared to the traditional centrality metrics. In weighted networks, both the number of ties the tie weights should be considered by adjusting the parameters. The method proposed in this study can also be used to nodes' status and importance estimation of various networks in other fields.
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spelling pubmed-96745062022-11-20 An effective distance-based centrality approach for exploring the centrality of maritime shipping network Kuang, Zengjie Liu, Chanjuan Wu, Jinran Wang, You-Gan Heliyon Research Article Centrality has always been used in transportation networks to estimate the status and importance of a node in the networks, especially in the shipping networks. However, most of the studies only take the shipping network as an unweighted network or only considering the tie weights in the weighted networks, ignoring the truth that both the number of ties and tie weights contribute to the centrality in weighted shipping networks. Therefore, we proposed a new method combining both the number of ties and tie weights to assess the node centrality based on effective distance by integrating the studies of Opsahl et al., (2010) and Du et al., (2015). An empirical analysis of shipping network at the country level for the 21st-centrtury Maritime Silk Road (MSR) was performed. The result of correlation analysis between country's degree centrality and the Liner Shipping Connectivity Index (LSCI) published by the United Nations Conference on Trade and Development (UNCTAD) proved the superiority of our method compared to the traditional centrality metrics. In weighted networks, both the number of ties the tie weights should be considered by adjusting the parameters. The method proposed in this study can also be used to nodes' status and importance estimation of various networks in other fields. Elsevier 2022-11-09 /pmc/articles/PMC9674506/ /pubmed/36411891 http://dx.doi.org/10.1016/j.heliyon.2022.e11474 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Kuang, Zengjie
Liu, Chanjuan
Wu, Jinran
Wang, You-Gan
An effective distance-based centrality approach for exploring the centrality of maritime shipping network
title An effective distance-based centrality approach for exploring the centrality of maritime shipping network
title_full An effective distance-based centrality approach for exploring the centrality of maritime shipping network
title_fullStr An effective distance-based centrality approach for exploring the centrality of maritime shipping network
title_full_unstemmed An effective distance-based centrality approach for exploring the centrality of maritime shipping network
title_short An effective distance-based centrality approach for exploring the centrality of maritime shipping network
title_sort effective distance-based centrality approach for exploring the centrality of maritime shipping network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674506/
https://www.ncbi.nlm.nih.gov/pubmed/36411891
http://dx.doi.org/10.1016/j.heliyon.2022.e11474
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