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dc.contributor.author
Ermann, Leonardo
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dc.contributor.author
Shepelyansky, Dima L.
dc.date.available
2018-03-08T21:58:50Z
dc.date.issued
2015-04
dc.identifier.citation
Ermann, Leonardo; Shepelyansky, Dima L.; Google matrix analysis of the multiproduct world trade network; Springer; European Physical Journal B - Condensed Matter; 88; 4; 4-2015; 84-103
dc.identifier.issn
1434-6028
dc.identifier.uri
http://hdl.handle.net/11336/38358
dc.description.abstract
Using the United Nations COMTRADE database [United Nations Commodity Trade Statistics Database, available at: http://comtrade.un.org/db/. Accessed November (2014)] we construct the Google matrix G of multiproduct world trade between the UN countries and analyze the properties of trade flows on this network for years 1962−2010. This construction, based on Markov chains, treats all countries on equal democratic grounds independently of their richness and at the same time it considers the contributions of trade products proportionally to their trade volume. We consider the trade with 61 products for up to 227 countries. The obtained results show that the trade contribution of products is asymmetric: some of them are export oriented while others are import oriented even if the ranking by their trade volume is symmetric in respect to export and import after averaging over all world countries. The construction of the Google matrix allows to investigate the sensitivity of trade balance in respect to price variations of products, e.g. petroleum and gas, taking into account the world connectivity of trade links. The trade balance based on PageRank and CheiRank probabilities highlights the leading role of China and other BRICS countries in the world trade in recent years. We also show that the eigenstates of G with large eigenvalues select specific trade communities.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Complex Networks
dc.subject
World Trade
dc.subject
Google Matrix
dc.subject
Statistical And Nonlinear Physics
dc.subject.classification
Astronomía
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dc.subject.classification
Ciencias Físicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Google matrix analysis of the multiproduct 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
2018-03-08T18:59:47Z
dc.identifier.eissn
1434-6036
dc.journal.volume
88
dc.journal.number
4
dc.journal.pagination
84-103
dc.journal.pais
Alemania
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dc.journal.ciudad
Berlín
dc.description.fil
Fil: Ermann, Leonardo. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones no Nucleares. Gerencia Física (CAC). Grupo de Física Teórica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia. Université Paul Sabatier; Francia
dc.journal.title
European Physical Journal B - Condensed Matter
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1140/epjb/e2015-60047-0
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2015-60047-0
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