In recent years, social networking sites (SNS) have become enormously popular, in particular microblogging sites such as Twitter. Twitter is nowadays one of the most used SNS for social, economic and political communication. Drawing on well-known characteristics of social networks and
human behavior, i.e. the homophilic behavior of individuals, the power law distribution of influence and retweeting, and the nature of endorsement and the reduction of noise of retweeting, this article proposes a two-step method to first uncover the structure of the network of the top influential
Twitter users in a political discussion and second based on the resulting structure of political clusters, predict the voters’ perception of the closeness between parties, the proportion of undecided voters between two given parties and the support for pacts between parties. The method
analyzes the overlaps of communities of retweeters of the most influent users in a political conversation, and applies it to the Catalan elections in 2012. Comparing our results with those of the Spanish Center for Sociological Research, we show that the overlaps between parties' communities
of retweeters are a good predictor of voters' indecision and preferences for post-electoral parliamentary support and coalitions.
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Document Type: Research Article
Department of Communication, Universitat Pompeu Fabra, Barcelona, Spain
Section for Science of Complex Systems, Medical University of Vienna, Vienna, Austria
Publication date: November 26, 2014
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