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dc.contributor.authorVaughan, Liwenes_ES
dc.contributor.authorRomero Frías, Esteban es_ES
dc.date.accessioned2018-01-15T08:31:28Z
dc.date.available2018-01-15T08:31:28Z
dc.date.issued2014
dc.identifier.citationVaughan, L.; Romero-Frías, E. Web Search Volume as a Predictor of Academic Fame: An Exploration of Google Trends. Journal of the American Society for Information Science and Technology, 65(4): 707-720 (2014). [http://hdl.handle.net/10481/48879]es_ES
dc.identifier.issn1532-2882
dc.identifier.issn1532-2890
dc.identifier.urihttp://hdl.handle.net/10481/48879
dc.description"This is the peer reviewed version of the following article: Vaughan, L.; Romero-Frías, E. “Web Search Volume as a Predictor of Academic Fame: An Exploration of Google Trends. Journal of the American Society for Information Science and Technology, 65(4): 707-720 (2014), which has been published in final form at http://dx.doi.org/10.1002/asi.23016 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."en_EN
dc.description.abstractSearches conducted on Web search engines reflect issues of interest to users and to society in general. Google Trends, which provides information about the queries searched by users of the Google Web search engine, is a rich data source from which a wealth of information can be mined. We investigated the possibility of using Web search volume data from Google Trends to predict academic fame. As queries are language dependent, we studied universities from two countries with different languages, the U.S. and Spain. We found a significant correlation between the search volume of a university name and the university’s academic reputation or fame. We also examined the effect of some Google Trends features, namely limiting the search to a specific country or topic category, on the search volume data. Finally, we examined the effect of university sizes on the correlations found to gain a deeper understanding of the nature of the relationships.en_EN
dc.description.sponsorshipThis study is part of a larger project of Web data mining for business intelligence funded by the Social Sciences and Humanities Research Council of Canada (SSHRC).en_EN
dc.language.isoenges_ES
dc.publisherAssociation for Information Science and Technologyes_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectWebometricsen_EN
dc.subjectWeb search volumeen_EN
dc.subjectGoogle trendsen_EN
dc.subjectUniversity rankingsen_EN
dc.titleWeb Search Volume as a Predictor of Academic Fame: An Exploration of Google Trendsen_EN
dc.typeinfo:eu-repo/semantics/articleen_EN
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_EN
dc.identifier.doi10.1002/asi.23016


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