Dynamics and effectiveness of Facebook Fanpages candidates for governor in the election results
DOI:
https://doi.org/10.29105/rinn13.26-4Keywords:
fanpage, graphic and metric analysis, social networks, votingAbstract
In this article analyzes from the perspective of social network analysis, the correlation between metrics structures sampled networks of Facebook fanpage's candidates for governor and the percentage of voting reached. Were taken as an object of study the elections for governor of Nuevo Leon in 2015 and the election for governor of the state of Veracruz in 2016, in Mexico. This research brings us closer to the understanding of the dynamics and effectiveness of fanpage's in election campaigns.
Downloads
References
Aldana, M. (2006, noviembre). Redes complejas. Recuperado de www.fis.unam.mx.
Anduiza, E. (2009). Internet campañas electorales y ciudadanos, el estado de|la cuestión, Quaderns del CAC, 33, 5-12.
Aragón, P. (2013). Análisis de redes sociales. Obtenido de www.es.slideshare.net.
Bastian, M. (2009). Gephi: an open source software for exploring and manipulating networks. ICWSM, 8, 361-362.
Bonacich, P. (1987). Power and centrality: A family of measures power and centrality: A family of measures, The American Journal of Sociology, 92(5), 1170-1182.
Boyd, D. & Ellison, N. (2007). Social network sites: Definition, history, Journal of ComputerMediated Communication, 13(1), 210-230.
Castells, M. (2001). Internet y la sociedad red, La Factoría, 14-15, 1-12 Cherven, K. (2015). Mastering Gephi network visualization. Birmingham-Mumbai: Packt Publishing.
Coto, A. & Adell A. (2011) Marketing politco 2.0. Recuperado de
www.marketingpolitico20.planetadelibros.com.
Espino, G. (2013). La mítica campaña de Obama, explicada en detalle, Revista Mexicana de Comunicación. Recuperado de www.mexicanadecomunicacion.com.mx.
Fowler, J. & Christakis, N. (2010). Cooperative behavior cascades in human social networks, PNAS, 10(12), 5334-5338.
Granovetter, M. (1973). The strength of weak ties, American Journal of Sociology, 78(6),1360-1380.
Hanneman, R. A. (2000). Introducción a los métodos del análisis de redes sociales. Recuperado de www.wizar.ucr.edu.
IIC (2011). Introducción al análisis de redes sociales. Grupo de procesos empresariales con efectos de red social (PEERS). Madrid: Instituto de Ingenieria del Conocimiento, UAM.
Kaufman, R. (1990). Finding groups in data. An introduction to cluster analysis. New Jersey:John Wiley & Sons.
Kemper, A. (2010). Valuation of network effect in software markets. Berlin: Physica-Verlag.
Kuz, A., Falco, M., Nahuel, L & Giandini, R. (2015). Análisis de redes sociales a través de Gephi y Node XL. 2do. Simposio argentino sobre Tecnología y Sociedad.
Recuperado de www.44jaiio.sadio.org.ar. Martinez, L. C. (2012). El marketing político en Estados Unidos: el caso Obama. Norteamérica, 7(1), 209-222.
McSweeney, P. (2009). Gephi network statistics. Obtenido de www.web.ecs.syr.edu.
Postigo, M. (2012). Campaña en la red. estrategias de marketing electoral en internet, Redmarka: Revista Académica de Marketing Aplicado, 5(8), 177-199.
Smith. M. (2014). 6 kinds of Twitter social media network structures. Recuperado de www.smrfoundation.org.
Smith, A. (2009). The Internet´s role in campaign 2008. Washington: Pew Internet & American Life Project.
Strogatz, W. (1998). Collective dynamics of 'small-world' networks. Center for the Social Sciences, 393, 440-442.
Velázquez, O. A. & Gallegos, N. (2005). Manual Introductorio al análisis de redes sociales. Toluca: Universidad Autónoma del Estado de México & Universidad Autónoma de Chapingo.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Innovaciones de Negocios

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The InnOvaciOnes de NegOciOs magazine is a free and open access electronic magazine of a scientific-academic nature and is a publication of the Autonomous University of Nuevo León, in which the authors retain their copyright and grant the magazine the exclusive right to first publication of the work. Third parties are allowed to use the published content, as long as the authorship of the work is acknowledged and the first publication in this journal is cited.
For more information, please contact the Research Secretary (FACPyA) of the Autonomous University of Nuevo León. Telephone: (81) 1340-4430. Email: revinnova@uanl.mx