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

dc.contributor.affiliationFacultad de Administración y Dirección de Empresas
dc.contributor.affiliationDepartamento de Economía y Ciencias Sociales
dc.contributor.authorLamirán-Palomares, José Maríaes_ES
dc.contributor.authorBaviera, Tomás
dc.contributor.authorBaviera-Puig, Amparo
dc.date.accessioned2021-11-05T14:11:36Z
dc.date.available2021-11-05T14:11:36Z
dc.date.issued2020-10es_ES
dc.description.abstract[EN] 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.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationLamirán-Palomares, JM.; Baviera, T.; Baviera-Puig, A. (2020). Sports Influencers on Twitter. Analysis and Comparative Study of Track Cycling World Cups 2016 and 2018. Social Sciences. 9(10):1-23. https://doi.org/10.3390/socsci9100169es_ES
dc.description.issue10es_ES
dc.description.referencesAbeza, G., Pegoraro, A., Naraine, M. L., Séguin, B., O”, N., & Reilly, N. A. (2014). Activating a global sport sponsorship with social media: an analysis of TOP sponsors, Twitter, and the 2014 Olympic Games. International Journal of Sport Management and Marketing, 15(3/4), 184. https://doi.org/10.1504/ijsmm.2014.072010es_ES
dc.description.referencesAkhtar, Nadeem, Javed, Hira, and Sengar, Geetanjali (, January September). Analysis of Facebook Social Network. Paper presented at 5th International Conference on Computational Intelligence and Communication Networks, CICN 2013, Mathura, India.es_ES
dc.description.referencesArmstrong, C. G., Delia, E. B., & Giardina, M. D. (2014). Embracing the Social in Social Media: An Analysis of the Social Media Marketing Strategies of the Los Angeles Kings. Communication & Sport, 4(2), 145-165. https://doi.org/10.1177/2167479514532914es_ES
dc.description.referencesAyala. (2012). Marshall Mcluhan, Las Redes Sociales y La Aldea Global. Revista Educación y Tecnología. 2.es_ES
dc.description.referencesBastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 361-362. https://doi.org/10.1609/icwsm.v3i1.13937es_ES
dc.description.referencesBlaszka, M., Burch, L. M., Frederick, E. L., Clavio, G., & Walsh, P. (2012). #WorldSeries: An Empirical Examination of a Twitter Hashtag During a Major Sporting Event. International Journal of Sport Communication, 5(4), 435-453. https://doi.org/10.1123/ijsc.5.4.435es_ES
dc.description.referencesBruns, A. (2012). HOW LONG IS A TWEET? MAPPING DYNAMIC CONVERSATION NETWORKS ON<i>TWITTER</i>USING GAWK AND GEPHI. Information, Communication &amp; Society, 15(9), 1323-1351. https://doi.org/10.1080/1369118x.2011.635214es_ES
dc.description.referencesBruns, Axel, Weller, Katrin, Burgess, Jean, Mahrt, Merja, and Puschmann, Cornelius (2014). Twitter and Society, Peter Lang.es_ES
dc.description.referencesBurch, L. M., Frederick, E. L., & Pegoraro, A. (2015). Kissing in the Carnage: An Examination of Framing on Twitter During the Vancouver Riots. Journal of Broadcasting &amp; Electronic Media, 59(3), 399-415. https://doi.org/10.1080/08838151.2015.1054999es_ES
dc.description.referencesCampos-Freire, F., Rúas-Araújo, J., López-García, X., & Martínez-Fernández, V.-A. (2016). Impacto de las redes sociales en el periodismo. El Profesional de la Información, 25(3), 449. https://doi.org/10.3145/epi.2016.may.15es_ES
dc.description.referencesCerezuela, Berta (2020, July 17). La Información y Documentación Deportiva y Los Grandes Eventos Deportivos. Centre d’Estudis Olímpics UAB 14, Available online: https://ddd.uab.cat/pub/worpap/2003/hdl_2072_4955/WP086_spa.pdf.es_ES
dc.description.referencesCha, Meeyoung, Haddadi, Hamed, Benevenuto, Fabrício, and Gummadi, Krishna P. (2017, April 21). Measuring User Influence in Twitter: The Million Follower Fallacy. Available online: https://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/viewFile/1538/1826.es_ES
dc.description.referencesCheng, Eddie W. L., and li, Heng (2001). Analytic Hierarchy Process: An Approach to Determine Measures for Business Performance. Measuring Business Excellence.es_ES
dc.description.referencesClavio, G., & Walsh, P. (2013). Dimensions of Social Media Utilization Among College Sport Fans. Communication &amp; Sport, 2(3), 261-281. https://doi.org/10.1177/2167479513480355es_ES
dc.description.referencesClavio. (2013). The Utilization of Twitter by Drivers in a Major Racing Series. International Journal of Motorsport Management. 2.es_ES
dc.description.referencesClavio, G., Burch, L. M., & Frederick, E. L. (2012). Networked Fandom: Applying Systems Theory to Sport Twitter Analysis. International Journal of Sport Communication, 5(4), 522-538. https://doi.org/10.1123/ijsc.5.4.522es_ES
dc.description.referencesCuriel, Eva Herrero (2012). El Periodismo En El Siglo de Las Redes Sociales. Vivat Academia, 1113.es_ES
dc.description.referencesPérez Dasilva, J. Á., Santos, M. T., & Meso Ayerdi, K. (2015). Radio y redes sociales: el caso de los programas deportivos en Twitter. Revista Latina de Comunicación Social, (70), 141-155. https://doi.org/10.4185/rlcs-2015-1039es_ES
dc.description.referencesDay, B. (2020). Persuasion: Social Influence and Compliance Gaining; Sixth Edition, by Robert H. Gass and John S. Seiter: Routledge, Taylor and Francis Group, 2018 (also the publisher of this journal). Applied Environmental Education &amp; Communication, 19(2), 221-222. https://doi.org/10.1080/1533015x.2020.1742974es_ES
dc.description.referencesde Nooy, Wouter, Mrvar, Andrej, and Batagelj, Vladimir (2005). Exploratory Social Network Analysis with Pajek. Exploratory Social Network Analysis with Pajek, Cambridge University Press.es_ES
dc.description.referencesFigaro, Roseli, Nonato, Claudia, and Grohman, Rafael (2015). Los Cambios En El Mundo Del Trabajo Del Periodista—Figaro, Roseli, Nonato, Cláudia, Grohmann, Rafael—Google Libros, Editorial UOC.es_ES
dc.description.referencesFrederick, E., Lim, C. H., Clavio, G., Pedersen, P. M., & Burch, L. M. (2012). Choosing Between the One-Way or Two-Way Street: An Exploration of Relationship Promotion by Professional Athletes on Twitter. Communication &amp; Sport, 2(1), 80-99. https://doi.org/10.1177/2167479512466387es_ES
dc.description.referencesFrederick, E. L., Burch, L. M., & Blaszka, M. (2013). A Shift in Set: Examining the Presence of Agenda Setting on Twitter During the 2012 London Olympics. Communication &amp; Sport, 3(3), 312-333. https://doi.org/10.1177/2167479513508393es_ES
dc.description.referencesFreeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7es_ES
dc.description.referencesFuchs, Christian (2014). The Power and Political Economy of Social Media. Social Media: A Critical Introduction, SAGE Publications Ltd.es_ES
dc.description.referencesMoyano Fuentes, J., Bruque Cámara, S., & Eisenberg, J. (2007). La influencia de las redes sociales en la adaptación de los trabajadores al cambio tecnológico. Cuadernos de Economía y Dirección de la Empresa, 10(31), 147-169. https://doi.org/10.1016/s1138-5758(07)70086-5es_ES
dc.description.referencesGil, Antón, and María, Ana (2012). El Fenómeno de Las Redes Sociales y Los Cambios En La Vigencia de Los Derechos Fundamentales. Revista de Derecho de La UNED, 10.es_ES
dc.description.referencesGila. (2016). Los Juegos Olímpicos de La Juventud y Las Redes Sociales (2010–2014): Evolución y Retos En Las Nuevas Formas de Comunicación Para La Transmisión de Valores Olímpicos/The Youth Olympic Games and Social Networks (2010–2014): Evolution and Challenges of Ne. Citius Altius Fortius. 9.es_ES
dc.description.referencesGouveia, Célia, Tiago, Lapa, and Di, Fátima Branco (2020, September 12). Benfica vs. Sporting: O Derby Visto a Partir Do Twitter. Available online: http://www.scielo.mec.pt/scielo.php?script=sci_arttext&pid=S1646-59542018000200004.es_ES
dc.description.referencesHambrick, M. E. (2012). Six Degrees of Information: Using Social Network Analysis to Explore the Spread of Information Within Sport Social Networks. International Journal of Sport Communication, 5(1), 16-34. https://doi.org/10.1123/ijsc.5.1.16es_ES
dc.description.referencesHambrick, M. E., & Pegoraro, A. (2014). Social Sochi: using social network analysis to investigate electronic word-of-mouth transmitted through social media communities. International Journal of Sport Management and Marketing, 15(3/4), 120. https://doi.org/10.1504/ijsmm.2014.072005es_ES
dc.description.referencesHambrick, M. E., & Sanderson, J. (2013). Gaining Primacy in the Digital Network: Using Social Network Analysis to Examine Sports Journalists” Coverage of the Penn State Football Scandal via Twitter. Journal of Sports Media, 8(1), 1-18. https://doi.org/10.1353/jsm.2013.0003es_ES
dc.description.referencesHambrick, M. E., Simmons, J. M., Greenhalgh, G. P., & Greenwell, T. C. (2010). Understanding Professional Athletes’ Use of Twitter: A Content Analysis of Athlete Tweets. International Journal of Sport Communication, 3(4), 454-471. https://doi.org/10.1123/ijsc.3.4.454es_ES
dc.description.referencesHurst, M., Loureiro, M., Valongo, B., Laporta, L., Nikolaidis, T. P., & Afonso, J. (2016). Systemic Mapping of High-Level Women’s Volleyball using Social Network Analysis: The Case of Serve (K0), Side-out (KI), Side-out Transition (KII) and Transition (KIII). International Journal of Performance Analysis in Sport, 16(2), 695-710. https://doi.org/10.1080/24748668.2016.11868917es_ES
dc.description.referencesKassing, J. W., & Sanderson, J. (2010). Fan–Athlete Interaction and Twitter Tweeting Through the Giro: A Case Study. International Journal of Sport Communication, 3(1), 113-128. https://doi.org/10.1123/ijsc.3.1.113es_ES
dc.description.referencesLamirán-Palomares, José M., Baviera, Tomás, and Baviera-Puig, Amparo (2019). Identifying Opinion Leaders on Twitter during Sporting Events: Lessons from a Case Study. Social Sciences, 8.es_ES
dc.description.referencesLeavitt, Alex, Burchard, Evan, Fisher, David, and Gilbert, Sam (2020, July 17). The Influentials: New Approaches for Analyzing Influence on Twitter. Available online: http://webecologyproject.org.es_ES
dc.description.referencesLebel, K., & Danylchuk, K. (2012). How Tweet It Is: A Gendered Analysis of Professional Tennis Players’ Self-Presentation on Twitter. International Journal of Sport Communication, 5(4), 461-480. https://doi.org/10.1123/ijsc.5.4.461es_ES
dc.description.referencesLewin, K. (1939). Field Theory and Experiment in Social Psychology: Concepts and Methods. American Journal of Sociology, 44(6), 868-896. https://doi.org/10.1086/218177es_ES
dc.description.referencesLoayza, Valarezo, and María, Belén (2015). La Rreducción del uso de las redes Sociales como norma Administrativa para Mejorar el Desempeño de los Atletasn (Examen Complexivo) UTMATCH, Unidad Académica de Ciencias Empresariales. Available online: http://186.3.32.121/handle/48000/3284.es_ES
dc.description.referencesLozares. (1996). La Teoría de Redes Sociales. Papers: Revista de Sociologia. 48.es_ES
dc.description.referencesMaclean, Joanne, Cousens, Laura Lynne, and Barnes, Martha L. (2011). Look Who’s Linked with Whom: A Case Study of One Community Basketball Network Park Tourism View Project Recreation Planning View Project. Article in Journal of Sport Management.es_ES
dc.description.referencesMeenaghan, T., McLoughlin, D., & McCormack, A. (2013). New Challenges in Sponsorship Evaluation Actors, New Media, and the Context of Praxis. Psychology &amp; Marketing, 30(5), 444-460. Portico. https://doi.org/10.1002/mar.20618es_ES
dc.description.referencesNaraine, M. L., & Parent, M. M. (2016). Illuminating Centralized Users in the Social Media Ego Network of Two National Sport Organizations. Journal of Sport Management, 30(6), 689-701. https://doi.org/10.1123/jsm.2016-0067es_ES
dc.description.referencesNaraine, M. L., Schenk, J., & Parent, M. M. (2016). Coordination in International and Domestic Sports Events: Examining Stakeholder Network Governance. Journal of Sport Management, 30(5), 521-537. https://doi.org/10.1123/jsm.2015-0273es_ES
dc.description.referencesNewman, Mark (2010). Networks: An Introduction, OUP.es_ES
dc.description.referencesPage. (1998). The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks. 30.es_ES
dc.description.referencesPark, N., Kee, K. F., & Valenzuela, S. (2009). Being Immersed in Social Networking Environment: Facebook Groups, Uses and Gratifications, and Social Outcomes. CyberPsychology &amp; Behavior, 12(6), 729-733. https://doi.org/10.1089/cpb.2009.0003es_ES
dc.description.referencesPegoraro, A. (2010). Look Who’s Talking—Athletes on Twitter: A Case Study. International Journal of Sport Communication, 3(4), 501-514. https://doi.org/10.1123/ijsc.3.4.501es_ES
dc.description.referencesQuatman, C., & Chelladurai, P. (2008). The Social Construction of Knowledge in the Field of Sport Management: A Social Network Perspective. Journal of Sport Management, 22(6), 651-676. https://doi.org/10.1123/jsm.22.6.651es_ES
dc.description.referencesRiquelme, F., & González-Cantergiani, P. (2016). Measuring user influence on Twitter: A survey. Information Processing &amp; Management, 52(5), 949-975. https://doi.org/10.1016/j.ipm.2016.04.003es_ES
dc.description.referencesRojas-Torrijos, José Luis (2012). Del Fútbol Por Exceso a La Espectacularización de La Información En El Periodismo Deportivo. Propuestas Para Una Mayor Diversificación Temática de Los Contenidos, Sociedad Latina de Comunicación Social. Available online: http://www.revistalatinacs.org/12SLCS/2012_actas.html.es_ES
dc.description.referencesSaaty, Thomas (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, McGraw-Hill International Book Co.es_ES
dc.description.referencesSaaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/ijssci.2008.017590es_ES
dc.description.referencesSahelices-Pinto, C., & Rodríguez-Santos, C. (2014). E-WoM and 2.0 Opinion Leaders. Journal of Food Products Marketing, 20(3), 244-261. https://doi.org/10.1080/10454446.2012.732549es_ES
dc.description.referencesSanderson, J. (2014). Shaping, Driving, Engaging, and Influencing in 140 Characters: Exploring Twitter’s Role in a Labor Dispute. Qualitative Research Reports in Communication, 15(1), 43-50. https://doi.org/10.1080/17459435.2014.955591es_ES
dc.description.referencesSanderson, J., & Hambrick, M. E. (2012). Covering the Scandal in 140 Characters: A Case Study of Twitter’s Role in Coverage of the Penn State Saga. International Journal of Sport Communication, 5(3), 384-402. https://doi.org/10.1123/ijsc.5.3.384es_ES
dc.description.referencesSaura, Jose Ramon, Reyes-Menendez, Ana, and Bennett, Dag R. (2019a). How to Extract Meaningful Insights from UGC: A Knowledge-Based Method Applied to Education. Applied Sciences, 9.es_ES
dc.description.referencesSaura, Jose Ramon, Reyes-Menendez, Ana, and Filipe, Ferrão (2019b). Comparing Data-Driven Methods for Extracting Knowledge from User Generated Content. Journal of Open Innovation: Technology, Market, and Complexity, 5.es_ES
dc.description.referencesScott, John (2017). Social Network Analysis, SAGE Publications Ltd.. [4th ed.]. Available online: https://www.amazon.es/Social-Network-Analysis-John-Scott/dp/1473952123.es_ES
dc.description.referencesSjöblom, Max, Hassan, Lobna, Macey, Joseph, Törhönen, Maria, and Hamari, Juho (2018). Liking the Game: How Can Spectating Motivations Influence Social Media Usage at Live Esports Events?. ACM International Conference Proceeding Series, Association for Computing Machinery.es_ES
dc.description.referencesStavros, C., Meng, M. D., Westberg, K., & Farrelly, F. (2014). Understanding fan motivation for interacting on social media. Sport Management Review, 17(4), 455-469. https://doi.org/10.1016/j.smr.2013.11.004es_ES
dc.description.referencesThirumalai. (2017). Analysis of Cost Estimation Function for Facebook Web Click Data. Paper presented at International Conference on Electronics, Communication and Aerospace Technology, (ICECA). Volume 2.es_ES
dc.description.referencesThompson, A.-J., Martin, A. J., Gee, S., & Geurin, A. N. (2016). Fans’ Perceptions of Professional Tennis Events’ Social Media Presence: Interaction, Insight, and Brand Anthropomorphism. Communication &amp; Sport, 5(5), 579-603. https://doi.org/10.1177/2167479516650442es_ES
dc.description.referencesToole, J. L., Cha, M., & González, M. C. (2012). Modeling the Adoption of Innovations in the Presence of Geographic and Media Influences. PLoS ONE, 7(1), e29528. https://doi.org/10.1371/journal.pone.0029528es_ES
dc.description.referencesVeglis, A., & Maniou, T. A. (2018). The Mediated Data Model of Communication Flow: Big Data and Data Journalism. KOME, 6(2), 32-43. https://doi.org/10.17646/kome.2018.23es_ES
dc.description.referencesWang, X. (2014). Using attitude functions, self-efficacy, and norms to predict attitudes and intentions to use mobile devices to access social media during sporting event attendance. Mobile Media &amp; Communication, 3(1), 75-90. https://doi.org/10.1177/2050157914548932es_ES
dc.description.referencesWarner, S., Bowers, M. T., & Dixon, M. A. (2012). Team Dynamics: A Social Network Perspective. Journal of Sport Management, 26(1), 53-66. https://doi.org/10.1123/jsm.26.1.53es_ES
dc.description.referencesWäsche, H., Dickson, G., Woll, A., & Brandes, U. (2017). Social network analysis in sport research: an emerging paradigm. European Journal for Sport and Society, 14(2), 138-165. https://doi.org/10.1080/16138171.2017.1318198es_ES
dc.description.referencesWasserman, Stanley, and Faust, Katherine (1994). Network Data, Measurement and Collection. Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences), Cambridge University Press.es_ES
dc.description.referencesWitkemper. (2012). Social Media and Sports Marketing: Examining the Motivations and Constraints of Twitter Users. Sport Marketing Quarterly. 21.es_ES
dc.description.referencesYan, G., Watanabe, N. M., Shapiro, S. L., Naraine, M. L., & Hull, K. (2018). Unfolding the Twitter scene of the 2017 UEFA Champions League Final: social media networks and power dynamics. European Sport Management Quarterly, 19(4), 419-436. https://doi.org/10.1080/16184742.2018.1517272es_ES
dc.description.referencesYu, Y., & Wang, X. (2015). World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets. Computers in Human Behavior, 48, 392-400. https://doi.org/10.1016/j.chb.2015.01.075es_ES
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dc.languageIngléses_ES
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dc.relation.references10.1504/IJSMM.2014.072010es_ES
dc.relation.references10.1109/CICN.2013.99es_ES
dc.relation.references10.1177/2167479514532914es_ES
dc.relation.references10.1123/ijsc.5.4.435es_ES
dc.relation.references10.1080/1369118X.2011.635214es_ES
dc.relation.references10.1080/08838151.2015.1054999es_ES
dc.relation.references10.3145/epi.2016.may.15es_ES
dc.relation.references10.1108/EUM0000000005864es_ES
dc.relation.references10.1177/2167479513480355es_ES
dc.relation.references10.1123/ijsc.5.4.522es_ES
dc.relation.references10.15178/va.2011.117E.1113-1128es_ES
dc.relation.references10.4185/RLCS-2015-1039es_ES
dc.relation.references10.1080/1533015x.2020.1742974es_ES
dc.relation.references10.1017/cbo9780511806452es_ES
dc.relation.references10.1177/2167479512466387es_ES
dc.relation.references10.1177/2167479513508393es_ES
dc.relation.references10.1016/0378-8733(78)90021-7es_ES
dc.relation.references10.4135/9781446270066es_ES
dc.relation.references10.1016/S1138-5758(07)70086-5es_ES
dc.relation.references10.4185/RLCS-2016-1095es_ES
dc.relation.references10.5944/rduned.10.2012.11097es_ES
dc.relation.references10.15366/citius2016.9.2.002es_ES
dc.relation.references10.1123/ijsc.5.1.16es_ES
dc.relation.references10.1504/IJSMM.2014.072005es_ES
dc.relation.references10.1353/jsm.2013.0003es_ES
dc.relation.references10.1123/ijsc.3.4.454es_ES
dc.relation.references10.1080/24748668.2016.11868917es_ES
dc.relation.references10.1123/ijsc.3.1.113es_ES
dc.relation.references10.3390/socsci8050141es_ES
dc.relation.references10.1123/ijsc.5.4.461es_ES
dc.relation.references10.1086/218177es_ES
dc.relation.references10.5565/rev/papers/v48n0.1814es_ES
dc.relation.references10.1123/jsm.25.6.562es_ES
dc.relation.references10.1002/mar.20618es_ES
dc.relation.references10.1123/jsm.2016-0067es_ES
dc.relation.references10.1123/jsm.2015-0273es_ES
dc.relation.references10.1093/acprof:oso/9780199206650.001.0001es_ES
dc.relation.references10.1016/s0169-7552(98)00110-xes_ES
dc.relation.references10.1089/cpb.2009.0003es_ES
dc.relation.references10.1123/ijsc.3.4.501es_ES
dc.relation.references10.1123/jsm.22.6.651es_ES
dc.relation.references10.1016/j.ipm.2016.04.003es_ES
dc.relation.references10.1504/IJSSCI.2008.017590es_ES
dc.relation.references10.1080/10454446.2012.732549es_ES
dc.relation.references10.1080/17459435.2014.955591es_ES
dc.relation.references10.1123/ijsc.5.3.384es_ES
dc.relation.references10.3390/app9214603es_ES
dc.relation.references10.3390/joitmc5040074es_ES
dc.relation.references10.1145/3217804es_ES
dc.relation.references10.1016/j.smr.2013.11.004es_ES
dc.relation.references10.1109/ICECA.2017.8212788es_ES
dc.relation.references10.1177/2167479516650442es_ES
dc.relation.references10.1371/journal.pone.0029528es_ES
dc.relation.references10.17646/KOME.2018.23es_ES
dc.relation.references10.1177/2050157914548932es_ES
dc.relation.references10.1123/jsm.26.1.53es_ES
dc.relation.references10.1080/16138171.2017.1318198es_ES
dc.relation.references10.1017/CBO9780511815478es_ES
dc.relation.references10.1080/16184742.2018.1517272es_ES
dc.relation.references10.1016/j.chb.2015.01.075es_ES
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectInfluencees_ES
dc.subjectInfluencerses_ES
dc.subjectTwitteres_ES
dc.subjectSocial network analysis (SNA)es_ES
dc.subjectAnalytical hierarchy process (AHP)es_ES
dc.subject.classificationECONOMIA, SOCIOLOGIA Y POLITICA AGRARIAes_ES
dc.subject.classificationCOMERCIALIZACION E INVESTIGACION DE MERCADOSes_ES
dc.subject.ods08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todoses_ES
dc.titleSports Influencers on Twitter. Analysis and Comparative Study of Track Cycling World Cups 2016 and 2018es_ES
dc.typeArtículoes_ES
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Lamiran-PalomaresBavieraBaviera-Puig - Sports Influencers on Twitter Analysis and Comparative Stu....pdf
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