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Identifying port maritime communities: application to the Spanish case

The aim of this paper is to detect port maritime communities sharing similar international trade patterns, by a modelisation of maritime traffic using a bipartite weighted network, providing decision-makers the tools to search for alliances or identify their competitors. Our bipartite weighted netwo...

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Detalles Bibliográficos
Autores principales: García, Nicanor, Adenso-Díaz, Belarmino, Calzada-Infante, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217790/
http://dx.doi.org/10.1186/s12544-021-00495-1
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author García, Nicanor
Adenso-Díaz, Belarmino
Calzada-Infante, Laura
author_facet García, Nicanor
Adenso-Díaz, Belarmino
Calzada-Infante, Laura
author_sort García, Nicanor
collection PubMed
description The aim of this paper is to detect port maritime communities sharing similar international trade patterns, by a modelisation of maritime traffic using a bipartite weighted network, providing decision-makers the tools to search for alliances or identify their competitors. Our bipartite weighted network considers two different types of nodes: one represents the ports, while the other represents the countries where there are major import/export activity from each port. The freight traffic among both types of nodes is modeled by weighting the volume of product transported. To illustrate the model, the Spanish case is considered, with the data segmented by each type of traffic for a fine tuning. A sort of link prediction is possible, finding for those communities with two or more ports, countries that are part of the same community but with which some ports do not have yet significant traffic. The evolution of the traffics is analyzed by comparing the communities in 2009 and 2019. The set of communities formed by the ports of the Spanish port system can be used to identify global similarities between them, comparing the membership of the different ports in communities for both periods and each type of traffic in particular.
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spelling pubmed-82177902021-06-23 Identifying port maritime communities: application to the Spanish case García, Nicanor Adenso-Díaz, Belarmino Calzada-Infante, Laura Eur. Transp. Res. Rev. Original Paper The aim of this paper is to detect port maritime communities sharing similar international trade patterns, by a modelisation of maritime traffic using a bipartite weighted network, providing decision-makers the tools to search for alliances or identify their competitors. Our bipartite weighted network considers two different types of nodes: one represents the ports, while the other represents the countries where there are major import/export activity from each port. The freight traffic among both types of nodes is modeled by weighting the volume of product transported. To illustrate the model, the Spanish case is considered, with the data segmented by each type of traffic for a fine tuning. A sort of link prediction is possible, finding for those communities with two or more ports, countries that are part of the same community but with which some ports do not have yet significant traffic. The evolution of the traffics is analyzed by comparing the communities in 2009 and 2019. The set of communities formed by the ports of the Spanish port system can be used to identify global similarities between them, comparing the membership of the different ports in communities for both periods and each type of traffic in particular. Springer International Publishing 2021-06-22 2021 /pmc/articles/PMC8217790/ http://dx.doi.org/10.1186/s12544-021-00495-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
García, Nicanor
Adenso-Díaz, Belarmino
Calzada-Infante, Laura
Identifying port maritime communities: application to the Spanish case
title Identifying port maritime communities: application to the Spanish case
title_full Identifying port maritime communities: application to the Spanish case
title_fullStr Identifying port maritime communities: application to the Spanish case
title_full_unstemmed Identifying port maritime communities: application to the Spanish case
title_short Identifying port maritime communities: application to the Spanish case
title_sort identifying port maritime communities: application to the spanish case
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217790/
http://dx.doi.org/10.1186/s12544-021-00495-1
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