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dc.contributor.author
Loye, Justin  
dc.contributor.author
Ermann, Leonardo  
dc.contributor.author
Shepelyansky, Dima L.  
dc.date.available
2022-08-26T18:57:56Z  
dc.date.issued
2021-05  
dc.identifier.citation
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  
dc.identifier.issn
2364-8228  
dc.identifier.uri
http://hdl.handle.net/11336/166713  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
COMPLEX NETWORKS  
dc.subject
GOOGLE MATRIX  
dc.subject
PAGERANK  
dc.subject
WORLD TRADE  
dc.subject.classification
Otras Ciencias Físicas  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-08-25T13:54:53Z  
dc.journal.volume
6  
dc.journal.number
1  
dc.journal.pagination
1-15  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Loye, Justin. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia  
dc.description.fil
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  
dc.description.fil
Fil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia  
dc.journal.title
Applied Network Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00380-9  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s41109-021-00380-9