Popularidad en páginas de Facebook: ¿Qué rol cumplen las variables estructurales de la red? (DOI: 10.13140/RG.2.2.28491.41764)

Autores

Resumo

Las páginas de Facebook (FP) son puntos de reunión entre eventos y actores en las redes sociales virtuales (RSV) de esta plataforma. Empresas y eventos aglutinan actores que participan a través de los mecanismos de expresión en línea que está habilitada, a través de reacciones, etiquetados, posteo de fotos, comentarios, etc. Estas interacciones forman redes de contacto en línea. Nos proponemos investigar las variables estructurales de las redes capturadas en línea con variables estructurales de estas redes. Encontramos que diversas variables estructurales referidas a concentración o desconexión entre nodos se encuentran asociadas negativamente con la popularidad medida por el número de likes siendo, por otra parte, las FPs más populares asociadas a medios de comunicación (radios y noticias).

Referências

Achen, R. (2016). “Examining the Influence of Facebook Fans, Content, and Engagement on Business Outcomes in the National Basketball Association”. Journal of Social Media for Organizations, 3 (1), 1-15. Disponible en: http://www2.mitre.org/public/jsmo/pdfs/03-01-nba-business-outcomes.pdf

Antoniadis, I., Simos, P. y Assimakopoulos, C. (2018). “Factors affecting engagement and reactions of posts in Greek Facebook brand pages”. 4th International Conference on Contemporary Marketing Issues.

Backstrom, L., Boldi, P., Rosa, M., Ugander, J., y Vigna, S. (2012). “Four degrees of separation”. Proceedings of the 3rd Annual ACM Web Science Conference on - WebSci ’12.

Barabási, A.-L. y Albert R. (1999). “Emergence of Scaling in Random Networks”. Science, 286 (5439): 509-512. (DOI: 10.1126/science.286.5439.509)

Brauner, K., Kocheturov, A., Pardalos, P. M. (2018). “Network Analysis of Page Likes from Facebook User Profiles”. Journal of Undergraduate Research 18(2). Disponible en: https://ufdc.ufl.edu/UF00091523/00851

Bounova, G., y De Weck, O. (2012). “Overview of metrics and their correlation patterns for multiple-metric topology analysis on heterogeneous graph ensembles”. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 85(1). Disponible en: https://doi.org/10.1103/PhysRevE.85.016117

Buccafurri, F., Lax, G., Nocera, A., y Ursino, D. (2013). “Internetworking Assortativity in Facebook”. International Conference on Cloud and Green Computing 2013.

De Vries, L., Gensler, S., y Leeflang, P. S. H. (2012). “Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing.” Journal of Interactive Marketing, 26(2), 83-91. Disponible en: https://doi.org/10.1016/j.intmar.2012.01.003

Díaz, L., y Gutiérrez, E. (2020). “Utilización de la red social Facebook por parte del gobierno de Bahía Blanca en tiempos de coronavirus. Análisis de factores que influyen las interacciones en las publicaciones”. En La Investigación en Ciencias Sociales en tiempos de la Pandemia por Covid-19 (p. 264–278). Bahía Blanca: IIESS UNS-CONICET.

Erdös, P. y Rényi, A. (1960), “On the Evolution of Random Graphs”. Institute of Mathematics, Hungary Academic of Sciences 5, 17-61. Disponible en: http://snap.stanford.edu/class/cs224w-readings/erdos60random.pdf

Facebook (2019), Key facts. Disponible en: https://newsroom.fb.com/company-info

Goodwin, I., Griffin, C., Lyons, A., McCreanor, T. y Moewaka Barnes, H. (2016) “Precarious Popularity: Facebook Drinking Photos, the Attention Economy, and the Regime of the Branded Self”, Social Media + Society 2(1). Disponible en: https://doi.org/10.1177/2056305116628889

Haro-de-Rosario, A., Sáez-Martín, A., y del Carmen Caba-Pérez, M. (2016). “Using social media to enhance citizen engagement with local government: Twitter or Facebook?” New Media & Society, 20(1), 29-49. Disponible en: https://doi.org/10.1177/1461444816645652

Hastie, T., Tibshirani, R., y Friedman, J. (2009). The Elements of Statistical Learning. En Springer Series in Statistics. Springer New York.

Hu, H. B. y Guo, J.L., (2012). “A comparative research on Facebook networks in different institutions”. Advances in Complex System, 15. Disponible en: https://doi.org/10.1142/S0219525912500300

Instituto Nacional de Estadísticas y Censos (2012). Censo Nacional de Población, Hogares y Viviendas 2010.

Isaak, J. y Hanna, M. J. (2018), "User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection," Computer 51(8): 56-59. Disponible en: https://doi: 10.1109/MC.2018.3191268

Khadangi, E., Bagheri, A. y Zarean, A. (2018). “Empirical analysis of structural properties, macroscopic and microscopic evolution of various Facebook activity networks”. Quality and Quantity, 52, 249–275. Disponible en: https://doi.org/10.1007/s11135-016-0465-4

Kwok, L., y Yu, B. (2012). “Spreading Social Media Messages on Facebook”. Cornell Hospitality Quarterly, 54(1), 84-94. Disponible en: https://doi.org/10.1177/1938965512458360

Lee, D. y Kalb, J. (2008). Network Topology Analysis (Reporte técnico). Nuevo México, Estados Unidos. Sandia National Laboratories

Mohammadi, S., Farahbakhsh, R. y Crespi, N. (2017). “Popularity evolution of professional users on Facebook”. 2017 IEEE International Conference on Communications (ICC).

Newman, M.E. (2003), “The Structure and Function of Complex Networks”, SIAM Review 45, 167-256. Disponible en: https://epubs.siam.org/doi/pdf/10.1137/S003614450342480

Pronschinske, M., Groza, M. y Walker, M. (2012). “Attracting Facebook 'fans': The importance of authenticity and engagement as a social networking strategy for professional sport teams”. Sport Marketing Quarterly, 21: 221-231.

Ravasz, E., y Barabási, A.-L. (2003). “Hierarchical organization in complex networks.” Physical Review E, 67(2). Disponible en: https://regan.med.harvard.edu/pdf/publications/Hierarchical_org_in_Complex_Netw_PRE.pdf

Ringelhan, S., Wollersheim, J., y Welpe, I. M. (2015). “I Like, I Cite? Do Facebook Likes Predict the Impact of Scientific Work?” PLOS ONE, 10(8). Disponible en: https://doi.org/10.1371/journal.pone.0134389

Sabate. F., Berbegal-Mirabent, J., Cañabate, A. y Lebherz, P.R. (2014) “Factors influencing popularity of branded content in Facebook fan pages”, European Management Journal 32 (6): 1001-1011. Disponible en: https://doi.org/10.1016/j.emj.2014.05.001

Sabatini, F. (2009). “Social capital as social networks: A new framework for measurement and an empirical analysis of its determinants and consequences”. Journal of Socio-Economics, 38(3), 429–442. Disponible en: https://doi.org/10.1016/j.socec.2008.06.001

Slattery, R.E., McHardy R.R., y Bairathi R. (2013), “On the Topology of the Facebook Page Network”. Proceedings from Engagement Science: Theory and Methods: Insights from the Emergence.

Smith, M., Ceni A., Milic-Frayling, N., Shneiderman, B., Mendes Rodrigues, E., Leskovec, J., Dunne, C. (2010). NodeXL: a free and open network overview, discovery and exploration add-in for Excel 2007/2010/2013/2016, http://nodexl.codeplex.com/ from the Social Media Research Foundation. Disponible en: http://www.smrfoundation.org

Swani. K. y Milne, G.R. (2017), “Evaluating Facebook brand content popularity for service versus goods offerings”, Journal of Business Research 79: 123-133. Disponible en: https://doi.org/10.1016/j.jbusres.2017.06.003

Traud, A. L., Mucha, P. J. y Porter, M. A. (2012). “Social structure of Facebook networks”. Physica A: Statistical Mechanics and Its Applications, 391(16), 4165-4180. Disponible en: https://doi.org/10.1016/j.physa.2011.12.021

Ugander, J., Karrer B., Backstrom L. y Marlow C. (2011). “The Anatomy of the Facebook Social Graph”. arXiv:1111.4503 [cs.SI]

Viswanath, B., Mislove, A., Cha, M. y Gummadi, K.P (2009). “The evolution of user interaction in Facebook”. Proceedings of the 2nd ACM Workshop on Online Social Networks, 37–42. Disponible en: https://conferences.sigcomm.org/sigcomm/2009/workshops/wosn/papers/p37.pdf

Watts, D.J. y Strogatz, S.H. (1998). “Collective dynamics of ‘small-world' networks”. Nature, 393 (6684). Disponible en: https://doi.org/10.1038/30918

Wilson, R. E., Gosling, S. D. y Graham, L.T. (2012). “A Review of Facebook Research in the Social Sciences”. Perspectives on Psychological Science, 7(3), 203-220. Disponible en: https://doi.org/10.1177/1745691612442904

Wohlgemuth, J. y Matache, M.T. (2014), “Small-world properties of Facebook group networks”. Complex Systems. 23(3): 197-225. Disponible en: https://www.complex-systems.com/abstracts/v23_i03_a01/

Zinovyev, A. (2011). Data visualization in political and social sciences. International Encyclopedia of Political Science. Disponible en: https://arxiv.org/abs/1008.1188

Downloads

Publicado

2020-07-21

Edição

Seção

Artigos