Medición de la influencia de usuarios en redes socialespropuesta SocialEngagement

  1. Pablo Lara-Navarra 1
  2. Alexandre López-Borrull 1
  3. Jordi Sánchez-Navarro 1
  4. Pau Yànez 1
  1. 1 Universitat Oberta de Catalunya
    info
    Universitat Oberta de Catalunya

    Barcelona, España

    ROR https://ror.org/01f5wp925

    Geographic location of the organization Universitat Oberta de Catalunya
Journal:
Profesional de la información

ISSN: 1386-6710,  1699-2407

Year of publication: 2018

Issue Title: Infomediación y automatización

Volume: 27

Issue: 4

Pages: 899-908

Type: Article

DOI: 10.3145/EPI.2018.JUL.18 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Profesional de la información

Abstract

The analysis of data from social media and the measurement of the influence of its users are topics of increasing importance from different points of view, including the academic and the economic. In this paper we propose a reflection towards the creation of comprehensive algorithms for the measurement of influence through the analysis of data generated in the interactions of social media users, as well as the detection of new business models on the Net. To do so, the paper reflects on the concept of influence in social media and the role of information and communication professionals in its measurement and analysis, describes several instruments used to measure influence, and presents the project SocialEngagement, a web platform for the analysis and detection of referents, opinion makers and trends.

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Funding information

El proyecto SocialEngagement se desarrolló juntamente con la empresa tecnológica Grupo ICA (Informática y Comunicaciones Avanzadas) y fue financiado por el Ministerio de Economía y Competitividad en el marco de la convocatoria del año 2014 para la concesión de las ayudas correspondientes a la convocatoria Retos-Colaboración del Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016. Expediente RTC-2014-2178-7

Funders

Bibliographic References

  • Alarcón-del-Amo, María-del-Carmen; Lorenzo-Romero, Carlota; Gómez-Borja, Miguel-Ángel (2011). “Classifying and profiling social networking site users: A latent segmentation approach”. Cyberpsychology, behavior, and social networking, v. 14, n. 9, pp. 547-553. https://doi.org/10.1089/cyber.2010.0346
  • Alonso-Berrocal, José-Luis; Figuerola, Carlos G.; Zazo-Rodríguez, Ángel F. (2015) “Propuesta de índice de influencia de contenidos (Influ@RT) en Twitter”. Scire, v. 21, n. 1, pp. 21-26. http://www.ibersid.eu/ojs/index.php/scire/article/ view/4139/3805
  • Bakshy, Eytan; Mason, Winter; Hofman, Jake M.; Watts, Duncan J. (2011). “Identifying ‘influencers’ on Twitter”. En: ACM Intl conf on web search and data mining. https://www.researchgate.net/publication/52003758_ Identifying_’Influencers’_on_Twitter
  • Cha, Meeyoung; Haddadi, Hamed; Benevenuto, Fabrício; Gummadi, Krishna P. (2010). “Measuring user influence in Twitter: The million follower fallacy”. En: ICWSM, 2010. http://snap.stanford.edu/class/cs224w-readings/ cha10influence.pdf
  • Easley, David; Kleinber, Jon (2010). Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge: Cambridge University Press. https://www.cs.cornell.edu/home/kleinber/networks-book/ networks-book.pdf
  • Enjolras, Bernard; Steen-Johnsen, Kari; Wollebæk, Dag (2013). “Social media and mobilization to offline demonstrations: Transcending participatory divides?”. New media & society, v. 15, pp. 890-908, https://doi.org/10.1177/1461444812462844
  • Ferrer-Sapena, Antonia; Sánchez-Pérez, Enrique A. (2013). “Open data, big data: ¿hacia dónde nos dirigimos?”. Anuario ThinkEPI, v. 7, pp. 150-156. https://recyt.fecyt.es/index.php/ThinkEPI/article/view/30351
  • González-Bailón, Sandra; Borge-Holthoefer, Javier; Moreno, Yamir (2013). “Broadcasters and hidden influentials in online protest diffusion”. American behavioral scientist, v. 57, n. 7, pp. 943-965. https://arxiv.org/pdf/1203.1868.pdf https://doi.org/10.1177/0002764213479371
  • Hoffmann, Christian-Pieter; Lutz, Christoph; Meckel, Miriam (2015). “A relational altmetric? Network centrality on ResearchGate as an indicator of scientific impact”. Journal of the Association for Information Science and Technology, v. 67, n.4, pp. 765-775. https://doi.org/10.1002/asi.23423
  • IAB Spain (2016). Estudio anual de redes sociales. Interactive Advertising Bureau. http://www.iabspain.net/wp-content/uploads/downloads/2016/04/ IAB_EstudioRedesSociales_2016_VCorta.pdf
  • Jordan, Katy (2015). “Exploring the ResearchGate Score as an academic metric: Reflections and implications for practice”. En: Quantifying and analysing scholarly communication on the web (ASCW’15). http://oro.open.ac.uk/43538
  • Keenan, Andrew; Shiri, Ali (2009). “Sociability and social interaction on social networking websites”. Library review, v. 58, n. 6, pp. 438-450. https://doi.org/10.1108/00242530910969794
  • Krallman, Alexandra; Pelletier, Mark J.; Adams, Frank G. (2016). “@Size vs. #Impact: Social media engagement differences amongst Facebook, Twitter, and Instagram”. En: Kim, Kacy K. (ed.) Celebrating America’s pastimes: Baseball, hot dogs, apple pie and marketing? Developments in marketing science. Proceedings of the Academy of Marketing Science. https://doi.org/10.1007/978-3-319-26647-3_112
  • Lee, Adeline; Bruckman, Amy (2007). “Judging you by the company you keep: Dating on social networking sites”. In: Proceedings of Group 2007, November 4-7, Sanibel Island, FL. http://www.cc.gatech.edu/~asb/papers/conference/leebruckman-group07.pdf
  • Leiva-Aguilera, Javier (2012). Gestión de la reputación online. Barcelona: Editorial UOC, Colección El profesional de la información, n. 7. ISBN: 978 84 9788 990 2
  • Marquina-Arenas, Julián (2012). Plan social media y community manager. Barcelona: Editorial UOC, Colección El profesional de la información, n. 12. ISBN: 978 84 9029 239 6
  • Martínez-Martínez, Silvia; Lara-Navarra, Pablo (2014). “El big data transforma la interpretación de los medios sociales”. El profesional de la información, v. 23, n. 6, pp. 575-581. https://doi.org/10.3145/epi.2014.nov.03
  • Orduña-Malea, Enrique; Martín-Martín, Alberto; Delgado-López-Cózar, Emilio (2016). “ResearchGate como fuente de evaluación científica: desvelando sus aplicaciones bibliométricas”. El profesional de la información, v. 25, n. 2, p. 303-310. https://doi.org/10.3145/epi.2016.mar.18
  • Papacharissi, Zizi (2011). A networked self: Identity, community and culture on social network sites. New York: Routledge. ISBN: 978 0 415801812
  • Ponce, Isabel (2012). “Monográfico: Redes sociales”. Observatorio Tecnológico. http://recursostic.educacion.es/observatorio/web/es/ internet/web-20/1043-redes-sociales
  • Priem, Jason; Taraborelli, Dario; Groth, Paul; Neylon, Cameron (2010). Altmetrics: A manifesto (v. 1.0), October 26th. http://altmetrics.org/manifesto
  • Rogers, Everett (2003). Diffusion of innovations (5th ed.). Simon and Schuster. ISBN: 978 0 7432 5823 4
  • Sanz-Martos, Sandra (2012). “Community managers, content curators y otros perfiles profesionales para la web social”. Anuario ThinkEPI, v. 6, pp. 40-43. https://recyt.fecyt.es/index.php/ThinkEPI/article/view/30382
  • Saxena, Anant; Khanna, Uday (2013). “Advertising on social network sites: A structural equation modelling approach”. The journal of business perspective, v. 17, n. 1, pp. 17-25. https://doi.org/10.1177/0972262912469560
  • Serrano-Cobos, Jorge (2014). “Big data y analítica web. Estudiar las corrientes y pescar en un océano de datos”. El profesional de la información, v. 23, n. 6, pp. 561-565. https://doi.org/10.3145/epi.2014.nov.01
  • Stembridge, Bob; Corish, Breda (2004). “Patent data mining and effective patent portfolio management”. Intellectual asset management, Oct.-Nov., pp. 30-35. https://goo.gl/2jRVpA
  • Thelwall, Mike; Kousha, Kayvan (2015). “ResearchGate: disseminating, communicationg, and measuring scholarship”. Journal of the Association for Information Science and Technology, v. 66, n. 5, pp. 876-889. http://www.scit.wlv.ac.uk/~cm1993/papers/ResearchGate.pdf
  • Trusov, Michael; Bucklin, Randolph E.; Pauwels, Koen (2009). “Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site”. Journal of marketing, v. 73, pp. 90-102. https://goo.gl/Y4zAbZ
  • Valenzuela, Sebastián; Park, Namsu; Kee, Kerk F. (2009). “Is there social capital in a social network site?: Facebook use and college students’ life satisfaction, trust, and participation”. Journal of computer-mediated communication, v. 14, pp. 875-901. https://doi.org/10.1111/j.1083-6101.2009.01474.x
  • Van-den-Bulte, Christophe; Joshi, Yogesh V. (2007). “New product diffusion with influentials and imitators”. Marketing science, v. 26, n. 3, pp. 400-421. https://doi.org/10.1287/mksc.1060.0224
  • Villars, Richard L.; Olofson, Carl W.; Eastwood, Matthew (2011). Big data: What it is and why you should care. IDC. Analyze the Future. https://goo.gl/t2B63s
Data source: Dialnet