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Sports Influencers on Twitter. Analysis and Comparative Study of Track Cycling World Cups 2016 and 2018

Bibliographic Data

ID5935686
AuthorsJosé María Lamirán-Palomares (0000-0001-5203-2643, Universitat Politècnica de València), Tomás Baviera (0000-0002-2331-6628, Universitat Politècnica de València), Amparo Baviera-Puig (0000-0002-2258-1155, Universitat Politècnica de València, corresponding author)
Year2020
Volume9
Issue10
Pages169
Publication date2020-09-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Sciences (JOURNAL)
Journal identifiersISSN: 2076-0760 • E-ISSN: 2076-0760
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci9100169
OpenAlexW3088594280
LanguageEN
Citations received5
References cited61

Social media has driven a sea change in the way users view and participate in sporting events through the media. In the digital medium, identifying the profiles with the greatest influential capacity is a key issue. Using the analytical hierarchy process (AHP), the aim of our research was to identify the most influential Twitter accounts in a major sporting event: The Track Cycling World Cups. The competitions from the years 2016 and 2018 were analysed, downloading all the tweets that included the official hashtag of each event and drawing up the graph of mentions and retweets. After reviewing the literature, activity, authority and popularity were defined as dimensions to assess influence, and two subcriteria were chosen as measures for each of them. Activity was measured by number of tweets and outdegree, authority by retweets and PageRank, and popularity by number of followers and indegree. By consulting experts following the AHP approach, various weights were assigned to these measures, resulting in authority as the most influential. With this weighting, the accounts with the greatest influence on Twitter turned out to be those related to organisation of the event and those of the athletes taking part

Advertising · Analytic hierarchy process · Business · Event (particle physics · Influencer marketing · Microblogging · Operations research · PageRank · Popularity · Social media · Upload · World Wide Web · Computer Science · Engineering · Psychology · Social Psychology · Sport and Mega-Event Impacts · Sports Analytics and Performance · Sports, Gender, and Society · Marketing

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Unique citing works5
Citations per year0,83
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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