Analysis of the Influencers of the Brazilian Protests of 2013 via Twitter
Abstract
This paper describes an approach of searching by influential users on Twitter, related to protests which took place in Brazil in 2013. The analyzed social network was constructed from the most referenced hashtags and retweets. This paper shows the results of this study, as well as exemplifies how events affect in the communication of Twitter. Moreover, we describe some future works.
Keywords:
Influencer Analysis, Brazilian Protests, Twitter
References
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Wasserman, S. and Faust, K. (1994), Social Network Analysis. Methods and Applications Cambridge University Press, Cambridge, England.
Bonacich, P. (2007), “Some unique properties of eigenvector centrality”, Social Networks, Volume 29, Issue 4, October 2007, Pages 555–564.
Eltantawy, N. and Wiest, J. B. (2011), Social Media in the Egyptian Revolution: Reconsidering Resource Mobilization Theory, International Journal of Communication 5, p.1207–1224.
Globo TV (2013), “Jornais de todo o mundo repercutem os protestos no Brasil”, http://globotv.globo.com/rede-globo/jornal-hoje/v/jornais-de-todo-o-mundorepercutem-os-protestos-no-brasil/2641286, acessado em 03/04/2014 às 22:30 (horário de Brasília).
Naaman, C.-H. L. Mor., and Boase, J. (2010), “Is it all About Me? User Content in Social Awareness Streams”, ACM Conference on Computer Supported Cooperative Work, 2010.
Page, L., Brin, S., Motwani, R. and Winograd, T. (1999), “The PageRank Citation Ranking: Bringing Order to the Web”, Technical Report. Stanford InfoLab.
Recuero, R. (2013), “Os discursos das Hashtags”, http://www.raquelrecuero.com/arquivos/2013/06/os-discursos-das-hashtags.html, acessado em 07/04/2014.
Wasserman, S. and Faust, K. (1994), Social Network Analysis. Methods and Applications Cambridge University Press, Cambridge, England.
Published
2014-08-01
How to Cite
THEODORO, Ingrhid; RANGEL, Fabio; FRANÇA, Tiago Cruz; OLIVEIRA, Jonice.
Analysis of the Influencers of the Brazilian Protests of 2013 via Twitter. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 3. , 2014, Brasília.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 273-278.
ISSN 2595-6094.
