World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network

Autores
Loye, Justin; Ermann, Leonardo; Shepelyansky, Dima L.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.
Fil: Loye, Justin. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia
Fil: Ermann, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones no Nucleares. Gerencia Física (CAC). Grupo de Física Teórica; Argentina
Fil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia
Materia
COMPLEX NETWORKS
GOOGLE MATRIX
PAGERANK
WORLD TRADE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/166713
Acceder
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network_name_str CONICET Digital (CONICET)
spelling World impact of kernel European Union 9 countries from Google matrix analysis of the world trade networkLoye, JustinErmann, LeonardoShepelyansky, Dima L.COMPLEX NETWORKSGOOGLE MATRIXPAGERANKWORLD TRADEhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.Fil: Loye, Justin. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; FranciaFil: Ermann, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones no Nucleares. Gerencia Física (CAC). Grupo de Física Teórica; ArgentinaFil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; FranciaSpringer2021-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/166713Loye, Justin; Ermann, Leonardo; Shepelyansky, Dima L.; World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network; Springer; Applied Network Science; 6; 1; 5-2021; 1-152364-8228CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00380-9info:eu-repo/semantics/altIdentifier/doi/10.1007/s41109-021-00380-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:20:34Zoai:ri.conicet.gov.ar:11336/166713instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:20:35.269CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
title World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
spellingShingle World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
Loye, Justin
COMPLEX NETWORKS
GOOGLE MATRIX
PAGERANK
WORLD TRADE
title_short World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
title_full World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
title_fullStr World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
title_full_unstemmed World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
title_sort World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
dc.creator.none.fl_str_mv Loye, Justin
Ermann, Leonardo
Shepelyansky, Dima L.
author Loye, Justin
author_facet Loye, Justin
Ermann, Leonardo
Shepelyansky, Dima L.
author_role author
author2 Ermann, Leonardo
Shepelyansky, Dima L.
author2_role author
author
dc.subject.none.fl_str_mv COMPLEX NETWORKS
GOOGLE MATRIX
PAGERANK
WORLD TRADE
topic COMPLEX NETWORKS
GOOGLE MATRIX
PAGERANK
WORLD TRADE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.
Fil: Loye, Justin. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia
Fil: Ermann, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones no Nucleares. Gerencia Física (CAC). Grupo de Física Teórica; Argentina
Fil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia
description We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.
publishDate 2021
dc.date.none.fl_str_mv 2021-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/166713
Loye, Justin; Ermann, Leonardo; Shepelyansky, Dima L.; World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network; Springer; Applied Network Science; 6; 1; 5-2021; 1-15
2364-8228
CONICET Digital
CONICET
url http://hdl.handle.net/11336/166713
identifier_str_mv Loye, Justin; Ermann, Leonardo; Shepelyansky, Dima L.; World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network; Springer; Applied Network Science; 6; 1; 5-2021; 1-15
2364-8228
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00380-9
info:eu-repo/semantics/altIdentifier/doi/10.1007/s41109-021-00380-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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