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Dataset Twitter - 2016 UCI Track Cycling World Championships

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Dataset Twitter - 2016 UCI Track Cycling World Championships

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Lamirán Palomares, JM.; Baviera Puig, T.; Baviera Puig, MA. (2019). Dataset Twitter - 2016 UCI Track Cycling World Championships. https://doi.org/10.4995/Dataset/10251/118266

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/118266

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Título: Dataset Twitter - 2016 UCI Track Cycling World Championships
Autor: Lamirán Palomares, José María Baviera Puig, Tomás Baviera Puig, Maria Amparo
Entidad UPV: Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Twitter , Influence , Social Network Analysis , Social media , Influencers , Sports , Deportes , Redes sociales , Influencia , Análisis de redes sociales
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Ítems relacionados: https://doi.org/10.3390/socsci8050141
DOI: 10.4995/Dataset/10251/118266
Editorial:
Universitat Politècnica de València
Descripción: We analysed 55,572 tweets (English and non-English) sent initially by 20,303 users, which later fell to 20,175 users after we detected 128 errors or duplicates, among other issues. Once the database was refined, we identified the interactions among the users in the conversation through mentions and re-tweets. Although we cannot assure that we have all the tweets specified with that condition (with the hashtag #TWC2016), at least we have a big sample that we consider enough for our research. The hashtag (#TWC2016) was the same as the one used by The Women’s Conference 2016. This Conference was held in December 2016. Though the dates did not coincide, we checked that there was no tweet of this event in our database.
Tipo: Dataset

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