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dc.creatorAguilar-Gallegos, Norman
dc.creatorRomero-García, Leticia Elizabeth
dc.creatorMartínez-González, Enrique Genaro
dc.creatorGarcía-Sánchez, Edgar Iván
dc.creatorAguilar-Ávila, Jorge
dc.date.accessioned2020-09-15T20:29:21Z
dc.date.available2020-09-15T20:29:21Z
dc.date.created2020
dc.identifier.issn2352-3409spa
dc.identifier.otherhttps://doi.org/10.1016/j.dib.2020.105684spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/13290
dc.description.abstractIn this data article, we provide a dataset of 8,982,694 Twitter posts around the coronavirus health global crisis. The data were collected through the Twitter REST API search. We used the rtweet R package to download raw data. The term searched was “Coronavirus” which included the word itself and its hashtag version. We collected the data over 23 days, from January 21 to February 12, 2020. The dataset is multilingual, prevailing English, Spanish, and Portuguese. We include a new variable created from other four variables; it is called “type” of tweets, which is useful for showing the diversity of tweets and the dynamics of users on Twitter. The dataset comprises seven databases which can be analysed separately. On the other hand, they can be crossed to set other researches, among them, trends and relevance of different topics, types of tweets, the embeddedness of users and their profiles, the retweets dynamics, hashtag analysis, as well as to perform social network analysis. This dataset can attract the attention of researchers related to different fields on knowledge, such as data science, social science, network science, health informatics, tourism, infodemiology, and othersspa
dc.format.extent14 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherData in Briefspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectCOVID-19spa
dc.subjectPandemicspa
dc.subjectInfodemiologyspa
dc.subjectSocial mediaspa
dc.subjectTwitterspa
dc.subjectRetweetsspa
dc.subjectSocial Network Analysisspa
dc.subjectHashtagsspa
dc.titleDataset on dynamics of coronavirus on twitterspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doihttps://doi.org/10.1016/j.dib.2020.105684spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


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