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Using text mining tools to define territorial competitiveness indicators

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dc.contributor.authorOvallos-Gazabon, David
dc.contributor.authorPuello-Pereira, Nataly
dc.contributor.authorMeléndez-Pertuz, Farid
dc.contributor.authorVélez-Zapata, Jaime
dc.contributor.authorDe-La-Hoz-Franco, Emiro
dc.contributor.authorSanchez, Joaquín F.
dc.contributor.authorCaro-Ruiz, Claudia
dc.contributor.authorCárdenas, César A.
dc.contributor.authorCollazos-Morales, Carlos
dc.date.accessioned2019-10-09T20:44:24Z
dc.date.available2019-10-09T20:44:24Z
dc.date.issued2019
dc.description.abstractFor this study, articles from the fields of Social Sciences; Economics; Econometrics and Finance; Business and Management; and Accounting have been monitored for the period from 1979 to 2017. VOSviewer® was used to create, visualize and explore bibliometric information from Scopus scientific database, for the identification and definition of territorial competitiveness indi-cators. It has generated preliminary conclusions using citation relationships be-tween journals, collaborative relationships between researchers, and coexistence relationships between scientific terms from the identified target literature.eng
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12442/4114
dc.language.isoengeng
dc.publisherSpringereng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionaleng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceCommunications in Computer and Information Scienceeng
dc.sourceVol. 1052 (2019)spa
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dc.source.urihttps://link.springer.com/chapter/10.1007/978-3-030-31019-6_57eng
dc.subjectText Miningeng
dc.subjectVosviewereng
dc.subjectCompetitiveness measurementeng
dc.subjectIndicatoreng
dc.subjectTerritorialeng
dc.titleUsing text mining tools to define territorial competitiveness indicatorseng
dc.typearticleeng

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