Carmen Gálvez e-mail(Login required)

Main Article Content

Authors

Carmen Gálvez e-mail(Login required)

Abstract

475
The objectives of this work were to discover the main points of interest in the field of research on Social Media, within the scientific area of Communication, and to analyse how it has evolved. A methodology based on the analysis of co-words and visualisation techniques was applied. The data was obtained from scientific publications indexed in the Web of Science (WoS) database, during the periods 2008-2012 and 2013-2017. The resulting maps showed that, during the period 2008-2012, the main areas of interest were web 2.0 and the internet in terms of social networking sites. However, during the period 2013-2017, there was a strong upward trend in the impact of social networks and platforms, especially Twitter and Facebook, in many areas (such as social movements, public relations and publicity, distribution of content, crisis communication, participatory journalism, political communication, or the configuration of public identities through social platforms, with special emphasis on youth). Finally, new scientific challenges were found in automatic analysis of content and management of big data. In conclusion, it was possible to transform a complex, underlying, dynamic and multidimensional reality into visible representations that could help experts in the field to better understand the evolution of research on Social Media.

Keywords

Social Media, communication, co-words analysis, knowledge domain visualisation methods.

References

Börner, K., Chen, C. & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255. https://www.doi.org/10.1002/ aris.1440370106.

Boyd, D. M. & Ellison, N. B. (2007). Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 13, 210-230. https:// www.doi.org/10.1109/EMR.2010.5559139.

Braam, R. R., Moed, H. F. & Van Raan, A. F. J. (1991). Mapping of science by combined cocitation and word analysis. II: dynamical aspects. Journal of the Association for Information Science and Technology, 42(4), 252-266. https://www.doi.org/10.1002/ (SICI)1097-4571(199105)42:4<252::AID-ASI2>3.0.CO;2-G.

Callon, M., Rip, A. & Law, J. (1986). Mapping the Dynamics of Science and Technology. London: The Macmillan Press.

Cardoso, G. (2011). Más allá de Internet y de los medios de comunicación de masas. El nacimiento de la comunicación en red. Telos: Cuadernos de comunicación e innovación, 86, 14-22.

Costa, J. (1998). La esquemática: visualizar la información. Barcelona: Paidós.

Costas, R., Zahedi, Z., & Wouters, P. (2015). The thematic orientation of publications mentioned on Social Media: Large-scale disciplinary comparison of Social Media metrics with citations. Aslib Journal of Information Management, 67(3), 260-288. https:// www.doi.org/10.1108/AJIM-12-2014-0173.

Coursaris, C. K. & Van Osch, W. (2014). A scientometric analysis of Social Media research (2004–2011). Scientometrics, 101, 357-380. https://www.doi.org/10.1007/s11192-014-1399-z.

De Bellis, N. (2009). Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics. Lanham, MD: Scarecrow Press.

Ding, Y., Chowdhury, G. G. & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37, 817-842. https://www.doi.org/10.1016/S0306-4573(00)00051-0.

Flores, J. (2009). Nuevos modelos de comunicación, perfiles y tendencias en los Social Media. Comunicar XVII (33), 73-81.

Freire, J. & Gutierrez-Rubí, A. (2010). 32 Tendencias de Cambio: 2010-2020. Barcelona: Grafiko.

Gan, Ch. & Wang, W. (2015). Research characteristics and status on Social Media in China: A bibliometric and co-word analysis. Scientometrics, 105, 1167-1182. https://www.doi.org/ 10.1007/978-3-662-45526-5_3.

Georgescua, M. & Popescula, D. (2015). Social Media – the new paradigm of collaboration and communication for business environment. Procedia Economics and Finance, 20, 277-282.

Günther, E. & Domahidi, E. (2017). What communication scholars write about: An analysis of 80 years of research in high-impact journals. International Journal of Communication, 11, 3051-3071.

Gupta, B. M., Dhawan S. M. & Gupta, R. (2015). Social Media research: A scientometric assessment of world publications output during 2001–2014. Journal of Scientometric Research, 4, 161-171.

Haustein, S., Costas, R. & Larivière, V. (2015). Characterizing Social Media metrics of scholarly papers: The effect of document properties and collaboration patterns. PLoS ONE, 10(3), e0120495. https://www.doi.org/10.1371/journal.pone.0120495 Hu, J. & Zhang, Y. (2015). Research patterns and trends of recommendation system in China using co-word analysis. Information Processing and Management, 51, 329-339. https:// www.doi.org/10.1016/j.ipm.2015.02.002.

Jenkins, H. (2006). Convergence culture: Where old and new media collide. New York: New York University Press. https://www.doi.org/10.7551/mitpress/9780262036016.003.0012 Kaplan, A. & Hanlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53, 59-68. https://www.doi.org/10.1016/ j.bushor.2009.09.003.

Knoll, J. (2016). Advertising in Social Media: a review of empirical evidence. International Journal of Advertising, 35 (2), 266-300. https://www.doi.org/10.1080/02650487.2015. 1021898.

Kostoff, R. N. et al. (2006). The structure and infrastructure of the global nanotechnology literature. Journal of Nanoparticle Research, 8, 301-321. https://www.doi.org/10.1007/ s11051-005-9035-8.

Leung, X. J., Sun, J. & Bai, B. (2017). Bibliometrics of Social Media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45. https:// www.doi.org/10.1016/j.ijhm.2017.06.012.

Leydesdorff, L. & Welbers, K. (2011). The semantic mapping of words and co-words in contexts. Journal of Informetrics, 5, 469-475. https://www.doi.org/10.1016/j.joi.2011. 01.008.

Merodio, J. (2012). Estrategia Empresarial en Redes Sociales. Madrid: Wolters Kluwer España.

Noguera, J. (2010). Redes sociales como paradigma periodístico. Medios españoles en Facebook. Revista Latina de Comunicación social, 65, 176-186.

Noyons, E. C. M., Moed, H. F. & Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study. Journal of the Association for Information Science and Technolog,y 50, 115-131. https://www.doi.org/10.1002/(SICI)1097- 4571(1999)50:2<115::AID-ASI3>3.0.CO;2-J.

Obar, J. A. & Wildman, S. (2015). Social Media definition and the governance challenge: an introduction to the special issue. Telecommunications Policy, 39(9), 745-750. https:// www.doi.org/10.2139/ssrn.2647377.

O’Reilly, T. (2007). What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. International Journal of Digital Economics, 65, 17-37.

Peng, T., Zhang, L., Zhong, Z. & Zhu, J. (2012). Mapping the landscape of Internet studies: Text mining of social science journal articles 2000–2009. New Media & Societ, 15(5), 644– 664. https://www.doi.org/10.1177/0263276409103106.

Peng, X., Sun, X. & Zhu, Q. (2012). The bibliometric analysis of research on social networking service in China. Information Science, 30(3), 414-441.

Persson, O. (2011). Bibexcel, a tool-box for scientometric analysis. Retrieved from http:// homepage.univie.ac.at/juan.gorraiz/bibexcel/.

Ravikumar, S., Agrahari, A. & Singh, S. N. (2015). Document mapping the intellectual structure of scientometrics: A co-word analysis of the journal scientometrics (2005– 2010). Scientometrics, 102, 929-955. https://www.doi.org/10.1007/s11192-014-1402-8.

Said Hung, E., Serrano Tellería, A., García de Torres, E., Yezers`Ka, K. & Calderín, M. (2013). The management of the Social Media at the Iberoamerican’s mass media. Communication & Society, 26, 67-92.

Small H. (2006). Tracking and predicting growth areas in science. Scientometrics, 68, 595-610. https://www.doi.org/10.1007/s11192-006-0132-y.

Soos, S., Kampis, G. & Gulyas, L. (2013). Large-scale temporal analysis of computer and information science. European Physical Journal Special Topics, 222, 1441-1465. https://www.doi.org/10.1140/epjst/e2013-01936-6.

Van Eck N. J. & Waltman L. (2007). VOS: a new method for visualizing similarities between objects. In H. J. Lenz & R. Decker (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization (pp. 299-306). Berlin/Heidelberg: Springer. https:/ /www.doi.org/10.1007/978-3-540-70981-7_34.

Van Eck, N. J. & Waltman, L. (2010). Software survery: VOSviewer, a program for bibliometric mapping. Scientometrics, 84, 523-538. https://www.doi.org/10.1007/s11192- 009-0146-3.

Van Eck, N. J. (2011). Methodological advances in bibliometric mapping science. Erasmus University Rotterdam, ERIM PhD Series research in management, 247-LIS.

Van Eck, N. J. & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, Y., R. Rousseau & D. Wolfram (Eds.), Measuring scholary impact: Methods and practice (pp. 285- 320). Heidelberg: Springer. https://www.doi.org/10.1007/978-3-319-10377-8_13.

Van Noorden, R. (2014). Online collaboration: Scientists and the social network. Nature, 512(7513), 126-129. https://www.doi.org/10.1038/512126a.

Van Raan, A. F. J. (2005). Measurement of central aspects of scientific research: Performance, interdisciplinarity. Measurement: Interdisciplinary Research and Perspectives, 3, 1-19. https://www.doi.org/10.1207/s15366359mea0301_1.

Wang, G., Yang, T. & Zhong, S. (2014). Bibliometric analysis of master’s dissertation and doctoral dissertation on microblog in China. Information Science, 4, 145-149.

Wasserman, S. & Faust, K. (1994). Social networks: Methods and applications. Cambridge: Cambridge University Press.

Zhang, J., Yu, Q., Zheng, F. et al. (2016). Comparing keywords plus of WOS and author keywords: a case study of patient adherence research. Journal of the Association for Information Science and Technology, 67, 967-972. https://www.doi.org/10.1002/asi.23437

Metrics

Search GoogleScholar


Details

Article Details

Section
Articles