Pablo Aragón

Communication Dynamics in Twitter During Political Campaigns: The Case of the 2011 Spanish National Election

The irruption of social media in the political sphere is generating repositories of “Big Data,” which can be mined to gain insights into communication dynamics. The research reported here relies on a large data set from Twitter to examine the activity, emotional content, and interactions of political parties and politicians during the campaign for the Spanish national elections in November 2011. The aim of this study is to investigate the adaptation of political parties to this new communication and organizational paradigm originating in the evolution of the Internet and online social networks. We analyze the reply and retweet networks of seven political parties with significant offline differences to assess their conversation and information diffusion patterns. We observe that political parties, and especially the major traditional parties, still tend to use Twitter just as a one-way flow communication tool. Moreover, we find evidence of a balkanization trend in the Spanish online political sphere, as observed in previous research for other countries.

Interactions of Cultures and Top People of Wikipedia from Ranking of 24 Language Editions

Wikipedia is a huge global repository of human knowledge that can be leveraged to investigate interwinements between cultures. With this aim, we apply methods of Markov chains and Google matrix for the analysis of the hyperlink networks of 24 Wikipedia language editions, and rank all their articles by PageRank, 2DRank and CheiRank algorithms. Using automatic extraction of people names, we obtain the top 100 historical figures, for each edition and for each algorithm. We investigate their spatial, temporal, and gender distributions in dependence of their cultural origins. Our study demonstrates not only the existence of skewness with local figures, mainly recognized only in their own cultures, but also the existence of global historical figures appearing in a large number of editions. By determining the birth time and place of these persons, we perform an analysis of the evolution of such figures through 35 centuries of human history for each language, thus recovering interactions and entanglement of cultures over time. We also obtain the distributions of historical figures over world countries, highlighting geographical aspects of cross-cultural links. Considering historical figures who appear in multiple editions as interactions between cultures, we construct a network of cultures and identify the most influential cultures according to this network.

Biographical social networks on Wikipedia: a cross-cultural study of links that made history

It is arguable whether history is made by great men and women or vice versa, but undoubtably social connections shape history. Analysing Wikipedia, a global collective memory place, we aim to understand how social links are recorded across cultures. Starting with the set of biographies in the English Wikipedia we focus on the networks of links between these biographical articles on the 15 largest language Wikipedias. We detect the most central characters in these networks and point out culture-related peculiarities. Furthermore, we reveal remarkable similarities between distinct groups of language Wikipedias and highlight the shared knowledge about connections between persons across cultures.

Jointly They Edit: Examining the Impact of Community Identification on Political Interaction in Wikipedia

Background In their 2005 study, Adamic and Glance coined the memorable phrase ‘divided they blog’, referring to a trend of cyberbalkanization in the political blogosphere, with liberal and conservative blogs tending to link to other blogs with a similar political slant, and not to one another. As political discussion and activity increasingly moves online, the power of framing political discourses is shifting from mass media to social media. Methodology/Principal Findings Continued examination of political interactions online is critical, and we extend this line of research by examining the activities of political users within the Wikipedia community. First, we examined how users in Wikipedia choose to display their political affiliation. Next, we analyzed the patterns of cross-party interaction and community participation among those users proclaiming a political affiliation. In contrast to previous analyses of other social media, we did not find strong trends indicating a preference to interact with members of the same political party within the Wikipedia community. Conclusions/Significance Our results indicate that users who proclaim their political affiliation within the community tend to proclaim their identity as a ‘Wikipedian’ even more loudly. It seems that the shared identity of ‘being Wikipedian’ may be strong enough to triumph over other potentially divisive facets of personal identity, such as political affiliation.

Who Are My Audiences? A Study of the Evolution of Target Audiences in Microblogs

User behavior in online social media is not static, it evolves through the years. In Twitter, we have witnessed a maturation of its platform and its users due to endogenous and exogenous reasons. While the research using Twitter data has expanded rapidly, little work has studied the change/evolution in the Twitter ecosystem itself. In this paper, we use a taxonomy of the types of tweets posted by around 4M users during 10 weeks in 2011 and 2013. We classify users according to their tweeting behavior, and find 5 clusters for which we can associate a different dominant tweeting type. Furthermore, we observe the evolution of users across groups between 2011 and 2013 and find interesting insights such as the decrease in conversations and increase in URLs sharing. Our findings suggest that mature users evolve to adopt Twitter as a news media rather than a social network.

Not All Paths Lead to Rome: Analysing the Network of Sister Cities

This work analyses the practice of sister city pairing. We investigate structural properties of the resulting city and country networks and present rankings of the most central nodes in these networks. We identify different country clusters and find that the practice of sister city pairing is not influenced by geographical proximity but results in highly assortative networks.

Generative models of online discussion threads: state of the art and research challenges

Online discussion in form of written comments is a core component of many social media platforms. It has attracted increasing attention from academia, mainly because theories from social sciences can be explored at an unprecedented scale. This interest has led to the development of statistical models which are able to characterize the dynamics of threaded online conversations.In this paper, we review research on statistical modeling of online discussions, in particular, we describe current generative models of the structure and growth of discussion threads. These are parametrized network formation models that are able to generate synthetic discussion threads that reproduce certain features of the real discussions present in different online platforms. We aim to provide a clear overview of the state of the art and to motivate future work in this relevant research field.

Decidim: redes políticas y tecnopolíticas para la democracia en red.

Decidim es una plataforma digital de democracia participativa desarrollada por el Ajuntament de Barcelona. Decidim es, ademas, un proyecto tecnopolitico que implica multitud de codigos mas alla del informatico. Distinguimos tres planos analiticos que sirven para conceptualizar de forma holistica y sistematica el proyecto Decidim: un plano politico, uno tecnopolitico, y un plano tecnico. Decidim emerge como ejemplo de lo que denominamos “redes politicas” caracterizadas, frente a las “redes sociales”, por hacer del vinculo politico y la construccion de inteligencia y voluntad colectivas el centro de su diseno y estructura. A su vez, la comunidad y los espacios “Metadecidim” operan como dispositivos para la democratizacion del software de Decidim y de la democracia en red en un sentido mas amplio, constituyendo “redes tecnopoliticas”. Estas redes de nueva generacion hacen de la plataforma una infraestructura publico-comun (financiada con dinero publico y co-disenada con la ciudadania), abierta y libre para la democracia participativa, un proyecto que aspira a servir de dispositivo y modelo para la transformacion politica en un periodo de crisis de la hegemonia neoliberal.

Deliberative platform design: the case study of the online discussions in Decidim Barcelona

With the irruption of ICTs and the crisis of political representation, many online platforms have been developed with the aim of improving participatory democratic processes. However, regarding platforms for online petitioning, previous research has not found examples of how to effectively introduce discussions, a crucial feature to promote deliberation. In this study we focus on the case of Decidim Barcelona, the online participatory-democracy platform launched by the City Council of Barcelona in which proposals can be discussed with an interface that combines threaded discussions and comment alignment with the proposal. This innovative approach allows to examine whether neutral, positive or negative comments are more likely to generate discussion cascades. The results reveal that, with this interface, comments marked as negatively aligned with the proposal were more likely to engage users in online discussions and, therefore, helped to promote deliberative decision making.

Lost in re-election: a tale of two Spanish online campaigns

In the 2010 decade, Spanish politics have transitioned from bipartidism to multipartidism. This change led to an unstable situation which eventually led to the rare scenario of two general elections within six months. The two elections had a mayor difference: two important left-wing parties formed a coalition in the second election while they had run separately in the first one. In the second election and after merging, the coalition lost around 1M votes, contradicting opinion polls. In this study, we perform community analysis of the retweet networks of the online campaigns to assess whether activity in Twitter reflects the outcome of both elections. The results show that the left-wing parties lost more online supporters than the other parties. Furthermore, we find that Twitter activity of the supporters unveils a decrease in engagement especially marked for the smaller party in the coalition, in line with post-electoral traditional polls.