Propuesta de índice de influencia de contenidos (Influ@RT) en Twitter

  1. José Luis Alonso Berrocal
  2. Carlos G. Figuerola
  3. Ángel F. Zazo Rodríguez
Revista:
Scire: Representación y organización del conocimiento

ISSN: 1135-3716

Año de publicación: 2015

Volumen: 21

Número: 1

Páginas: 21-26

Tipo: Artículo

DOI: 10.54886/SCIRE.V21I1.4139 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Scire: Representación y organización del conocimiento

Objetivos de desarrollo sostenible

Referencias bibliográficas

  • Alonso Berrocal, J. L.; Figuerola, C. G.; Zazo Rodríguez, Á. (2013). REINA at RepLab2013 Topic Detection Task: Community Detection. // Working Notes for the CLEF 2013 Evaluation Labs and Workshop, Valencia, Spain, 23-26 September, 2013.
  • Alonso Berrocal, J. L.; Gómez Díaz, R.; Figuerola, C. G.; Zazo Rodríguez, Á. F.; Cordón García, J. A. (2012). Propuesta de estudio del campo semántico de los libros electrónicos en Twitter. // Scire. 18:2, 87-97.
  • Berry, M. (2010). Better Know the Klout Classes. // Measuring Online Influence: The Official Klout Blog. 2. http://corp. klout.com/blog/2010/08/better-know-the-klout-classes
  • Boyd, D.; Golder, S.; Lotan, G. (2010). Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. // 43rd Hawaii International Conference on System Sciences (HICSS), 2010.
  • Cha, M.; Benevenuto, F.; Haddadi, H.; Gummadi, K. (2012). The world of connections and information flow in Twitter. // IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans. 42:4, 991-998.
  • Chamberlin, L.; Lehmann, K. (2011). Twitter in higher education. // Cutting-edge Technologies in Higher Education. 1, 375-391.
  • Chen, S.-C.; Yen, D. C.; Hwang, M. I. (2012). Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. // Computers in Human Behavior. 28(3), 933-941.
  • Dabbagh, N.; Kitsantas, A. (2012). Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. // The Internet and higher education. 15:1, 3-8.
  • Ebner, M.; Lienhardt, C.; Rohs, M.; Meyer, I. (2010). Microblogs in Higher Education-A chance to facilitate informal and process-oriented learning? // Computers & Education. 55:1, 92-100.
  • Edwards, C.; Spence, P. R.; Gentile, C. J.; Edwards, A.; Edwards, A. (2013). How much Klout do you have⋯ A test of system generated cues on source credibility. // Computers in Human Behavior. 29, A12-A16.
  • Garcia Esparza, S.; O'Mahony, M. P.; Smyth, B. (2012). Mining the real-time web: a novel approach to product recommendation. // Knowledge-Based Systems. 29, 3-11.
  • Guzmán Duque, A. P.; del Moral Pérez, M. E.; Ladrón de Guevara, F. G.; Gil Gómez, H. (2013). Impacto de Twitter en la comunicación y promoción institucional de las universidades. // Pixel-Bit: Revista de Medios y Educacion. 43.
  • Java, A.; Song, X.; Finin, T.; Tseng, B. (2009). Why we twitter: An analysis of a microblogging community // Advances in Web Mining and Web Usage Analysis. Springer. 118-138.
  • Lee, K.; Palsetia, D.; Narayanan, R.; Patwary, M. M. A.; Agrawal, A.; Choudhary, A. (2011). Twitter trending topic classification. // IEEE 11th International Conference on Data Mining Workshops (ICDMW), 2011.
  • Metzger, M. J.; Flanagin, A. J.; Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. // Journal of Communication. 60:3, 413-439.
  • Narr, S.; De Luca, E. W.; Albayrak, S. (2011). Extracting semantic annotations from twitter. // Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval.
  • Özsoy, S. (2011). Use of New Media by Turkish Fans in Sport Communication: Facebook and Twitter. // Journal of Human Kinetics. 28:1, 165-176.
  • Pérez, F. (2013). Rankings ISSUE: indicadores sintéticos de las universidades españolas. DOI: http://dx.doi.org/10.12842/RANKINGS-ISSUE-201
  • Petrović, S.; Osborne, M.; Lavrenko, V. (2010). Streaming first story detection with application to Twitter. // Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
  • Sankaranarayanan, J.; Samet, H.; Teitler, B. E.; Lieberman, M. D.; Sperling, J. (2009). TwitterStand: news in tweets. // Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
  • Serrano-Puche, J. (2012). Herramientas web para la medición de la influencia digital: análisis de klout y PeerIndex. // El profesional de la información. 21:3, 298-303.
  • Thelwall, M.; Buckley, K.; Paltoglou, G. (2011). Sentiment in Twitter events. // Journal of the American Society for Information Science and Technology. 62:2, 406-418.
  • Veletsianos, G. (2012). Higher education scholars' participation and practices on Twitter. // Journal of Computer Assisted Learning. 28:4, 336-349.
  • Westerman, D.; Spence, P. R.; Van Der Heide, B. (2012). A social network as information: The effect of system generated reports of connectedness on credibility on Twitter. // Computers in Human Behavior. 28:1, 199-206.
  • Yerva, S. R.; Miklós, Z.; Aberer, K. (2012). Quality-aware similarity assessment for entity matching in Web data. // Information Systems. 37:4, 336-351.