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Identifying Opinion Leaders on Twitter during Sporting Events: Lessons from a Case Study

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Identifying Opinion Leaders on Twitter during Sporting Events: Lessons from a Case Study

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dc.contributor.author Lamirán-Palomares, José M. es_ES
dc.contributor.author Baviera, Tomás es_ES
dc.contributor.author Baviera-Puig, Amparo es_ES
dc.date.accessioned 2021-02-03T04:33:35Z
dc.date.available 2021-02-03T04:33:35Z
dc.date.issued 2019-05-07 es_ES
dc.identifier.uri http://hdl.handle.net/10251/160596
dc.description.abstract [EN] Social media platforms have had a significant impact on the public image of sports in recent years. Through the relational dynamics of the communication on these networks, many users have emerged whose opinions can exert a great deal of influence on public conversation online. This research aims to identify the influential Twitter users during the 2016 UCI Track Cycling World Championships using different variables which, in turn, represent different dimensions of influence (popularity, activity and authority). Mathematical variables of the social network analysis and variables provided by Twitter and Google are compared. First, we calculated the Spearman¿s rank correlation coefficient among all users (n = 20,175) in pairwise comparisons. Next, we performed a qualitative analysis of the top 25 influential users ranked by each variable. As a result, no single variable assessed is sufficient to identify the different kinds of influential Twitter users. The reason that some variables vary so greatly is that the components of influence are very different. Influence is a contextualised phenomenon. Having a certain type of account is not enough to make a user an influencer if they do not engage (actively or passively) in the conversation. Choosing the influencers will depend on the objectives pursued. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Social Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Popularity es_ES
dc.subject Activity es_ES
dc.subject Authority es_ES
dc.subject Social network es_ES
dc.subject Rank correlation es_ES
dc.subject.classification ECONOMIA, SOCIOLOGIA Y POLITICA AGRARIA es_ES
dc.subject.classification COMERCIALIZACION E INVESTIGACION DE MERCADOS es_ES
dc.title Identifying Opinion Leaders on Twitter during Sporting Events: Lessons from a Case Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/socsci8050141 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation Lamirán-Palomares, JM.; Baviera, T.; Baviera-Puig, A. (2019). Identifying Opinion Leaders on Twitter during Sporting Events: Lessons from a Case Study. Social Sciences. 8(5):1-18. https://doi.org/10.3390/socsci8050141 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/socsci8050141 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 5 es_ES
dc.identifier.eissn 2076-0760 es_ES
dc.relation.pasarela S\387206 es_ES
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