La 'Spanish Revolution' en Twitter (2)redes de hashtags y actores individuales y colectivos respecto a los desahucios en España

  1. Gualda, Estrella 1
  2. Borrero, Juan Diego 2
  3. Carpio Cañada, José 2
  1. 1 Universidad de Huelva Grupos de investigación ESEIS/CIEO. Dpto. de Sociología y Trabajo Social
  2. 2 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

Journal:
Redes: Revista hispana para el análisis de redes sociales

ISSN: 1579-0185

Year of publication: 2015

Issue Title: Sociabilidad, sitios de networking y empleo

Volume: 26

Issue: 1

Pages: 1-22

Type: Article

DOI: 10.5565/REV/REDES.535 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Redes: Revista hispana para el análisis de redes sociales

Abstract

The Web 2.0 based on the developing of Social Networks through the Internet (Twitter, Facebook, etc, on real time) introduced new ways of announce or call any type of protest or collective mobilization. In this paper, we focus our study on Twitter. We pay attention to the topic “desahucios” (evictions). In particular we did a follow-up of all the tweets published in Twitter from 10 April 2013 to 28 May 2013 concerning ‘desahucios’. The data extraction produced a dataset of 499,420 tweets.Our objectives in this work are-To analyze the use of the hashtag “SpanishRevolution” included in the cited dataset, and to discover the connections between this and other hashtags included in the same tweets, looking for patterns in the microdiscourses produced by the hashtags.-To see who is behind this production of tweets and tags, that is, individual and collective actors involved in the production of discourses, with especial attention to actors that produce the tag ‘SpanishRevolution’.We did a mixed methods approximation, combining the use of the Qualitative analysis (Atlas ti for codification, co-occurrences of codes, etc), quantitative analysis (Spss), and a special focus on Social Networks Analysis in order to look for the connections between actors and hashtags (Gephi).Apart from the significant connections between hashtags in order to understand some of the patterns of diffusion of a movement, one of most impressive results show how few actors are pushing a lot.

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