Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites

Twitter as a potential alternative source of external links for use in webometric analysis is analyzed because of its capacity to embed hyperlinks in different tweets. Given the limitations on searching Twitter’s public application programming interface (API), we used the Topsy search engine as a so...

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Detalles Bibliográficos
Autores: Orduña-Malea, Enrique|||0000-0002-1989-8477, Torres-Salinas, Daniel, Delgado López-Cózar, Emilio
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/84568
Acceso en línea:https://riunet.upv.es/handle/10251/84568
Access Level:acceso abierto
Palabra clave:Webometrics
Web sites
Link analysis
COMUNICACION AUDIOVISUAL Y PUBLICIDAD
BIBLIOTECONOMIA Y DOCUMENTACION
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spelling Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websitesOrduña-Malea, Enrique|||0000-0002-1989-8477Torres-Salinas, DanielDelgado López-Cózar, EmilioWebometricsWeb sitesLink analysisCOMUNICACION AUDIOVISUAL Y PUBLICIDADBIBLIOTECONOMIA Y DOCUMENTACIONTwitter as a potential alternative source of external links for use in webometric analysis is analyzed because of its capacity to embed hyperlinks in different tweets. Given the limitations on searching Twitter’s public application programming interface (API), we used the Topsy search engine as a source for compiling tweets. To this end, we took a global sample of 200 universities and compiled all the tweets with hyperlinks to any of these institutions. Further link data was obtained from alternative sources (MajesticSEO and OpenSiteExplorer) in order to compare the results. Thereafter, various statistical tests were performed to determine the correlation between the indicators and the possibility of predicting external links from the collected tweets. The results indicate a high volume of tweets, although they are skewed by the performance of specific universities and countries. The data provided by Topsy correlated significantly with all link indicators, particularly with OpenSiteExplorer (r = 0.769). Finally, prediction models do not provide optimum results because of high error rates. We conclude that the use of Twitter (via Topsy) as a source of hyperlinks to universities produces promising results due to its high correlation with link indicators, though limited by policies and culture regarding use and presence in social networks.Association for Information Science and Technology (ASIS&T)Departamento de Comunicación Audiovisual, Documentación e Historia del ArteFacultad de Bellas ArtesRepositorio Institucional de la Universitat Politècnica de València Riunet20152015-07-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/84568reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/845682026-06-13T07:49:27Z
dc.title.none.fl_str_mv Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
title Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
spellingShingle Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
Orduña-Malea, Enrique|||0000-0002-1989-8477
Webometrics
Web sites
Link analysis
COMUNICACION AUDIOVISUAL Y PUBLICIDAD
BIBLIOTECONOMIA Y DOCUMENTACION
title_short Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
title_full Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
title_fullStr Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
title_full_unstemmed Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
title_sort Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites
dc.creator.none.fl_str_mv Orduña-Malea, Enrique|||0000-0002-1989-8477
Torres-Salinas, Daniel
Delgado López-Cózar, Emilio
author Orduña-Malea, Enrique|||0000-0002-1989-8477
author_facet Orduña-Malea, Enrique|||0000-0002-1989-8477
Torres-Salinas, Daniel
Delgado López-Cózar, Emilio
author_role author
author2 Torres-Salinas, Daniel
Delgado López-Cózar, Emilio
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Comunicación Audiovisual, Documentación e Historia del Arte
Facultad de Bellas Artes
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Webometrics
Web sites
Link analysis
COMUNICACION AUDIOVISUAL Y PUBLICIDAD
BIBLIOTECONOMIA Y DOCUMENTACION
topic Webometrics
Web sites
Link analysis
COMUNICACION AUDIOVISUAL Y PUBLICIDAD
BIBLIOTECONOMIA Y DOCUMENTACION
description Twitter as a potential alternative source of external links for use in webometric analysis is analyzed because of its capacity to embed hyperlinks in different tweets. Given the limitations on searching Twitter’s public application programming interface (API), we used the Topsy search engine as a source for compiling tweets. To this end, we took a global sample of 200 universities and compiled all the tweets with hyperlinks to any of these institutions. Further link data was obtained from alternative sources (MajesticSEO and OpenSiteExplorer) in order to compare the results. Thereafter, various statistical tests were performed to determine the correlation between the indicators and the possibility of predicting external links from the collected tweets. The results indicate a high volume of tweets, although they are skewed by the performance of specific universities and countries. The data provided by Topsy correlated significantly with all link indicators, particularly with OpenSiteExplorer (r = 0.769). Finally, prediction models do not provide optimum results because of high error rates. We conclude that the use of Twitter (via Topsy) as a source of hyperlinks to universities produces promising results due to its high correlation with link indicators, though limited by policies and culture regarding use and presence in social networks.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/84568
url https://riunet.upv.es/handle/10251/84568
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Association for Information Science and Technology (ASIS&T)
publisher.none.fl_str_mv Association for Information Science and Technology (ASIS&T)
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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