Brazilian Congress structural balance analysis

In this work, we study the behavior of Brazilian politicians and political parties with the help of clustering algorithms for signed social networks. For this purpose, we extract and analyze a collection of signed networks representing voting sessions of the lower house of Brazilian National Congress. We process all available voting data for the period between 2011 and 2016, by considering voting similarities between members of the Congress to define weighted signed links. The solutions obtained by solving Correlation Clustering (CC) problems are the basis for investigating deputies voting networks as well as questions about loyalty, leadership, coalitions, political crisis, and social phenomena such as mediation and polarization.Comment: 27 pages, 15 tables, 6 figures; entire article was revised, new references added (including international press); correcting typing error

Joint Topic-Semantic-aware Social Recommendation for Online Voting

Online voting is an emerging feature in social networks, in which users can express their attitudes toward various issues and show their unique interest. Online voting imposes new challenges on recommendation, because the propagation of votings heavily depends on the structure of social networks as well as the content of votings. In this paper, we investigate how to utilize these two factors in a comprehensive manner when doing voting recommendation. First, due to the fact that existing text mining methods such as topic model and semantic model cannot well process the content of votings that is typically short and ambiguous, we propose a novel Topic-Enhanced Word Embedding (TEWE) method to learn word and document representation by jointly considering their topics and semantics. Then we propose our Joint Topic-Semantic-aware social Matrix Factorization (JTS-MF) model for voting recommendation. JTS-MF model calculates similarity among users and votings by combining their TEWE representation and structural information of social networks, and preserves this topic-semantic-social similarity during matrix factorization. To evaluate the performance of TEWE representation and JTS-MF model, we conduct extensive experiments on real online voting dataset. The results prove the efficacy of our approach against several state-of-the-art baselines.Comment: The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017

Voting in small networks with cross-pressure

We present a model of participation in elections in small networks, in which citizens su¤er from cross-pressures if voting against the alternative preferred by some of their social contacts. We analyze how the existence of cross-pressures may shape voting decisions, and so, political outcomes; and how candidates may exploit this e¤ect to their interest.Network; Voting; Cross-Cutting.

Gender, Social Networks, and Voting Behavior

This paper examines how interpersonal social networks help explain the voting behavior of men and women. We argue that the gender gap in voting is influenced by the partisan and gender composition of networks, rather than just the latter. Building on this foundation, we explain how gendering in network construction and impact helps create a cleavage between men and women even under conditions that are often close to random mixing. Analysis of the 2000 American National Election Study shows the voting gap is related to men excluding women from political networks, men being less exposed to females who support Democrats, and men being more strongly influence by women who support Republicans. The principal conclusion of the paper is that the role of social networks in explaining gendered voting is a function of combined partisan and gender segregation, principally by men

Who Will Be Idol? The Importance of Social Networks for Winning on Reality Shows

This paper examines, both theoretically and empirically, the effect of social networks and belonging to minority groups (or race) on the probability of winning in reality television shows. We develop a theoretical model that studies viewer behavior by presenting a framework of competition between two contestants from two different groups. The results are examined empirically using unique contestant data from the highly popular reality show "A Star Is Born", the Israeli counterpart of "American Idol". Our main finding is that social networks and belonging to minority groups play key roles in the contestant’s victory, but their effects are nonlinear: the social network effect is U-shaped, whereas that of belonging to a minority group follows an inverted U shape. Beyond the world of reality TV, this paper sheds light on the general behavior of social networks as well.American Idol, social networks, minority groups, contest, voting

Social Networks and Correct Voting

Decades of research suggest that social interaction influences opinion formation and affects voting behavior. However, recent work concerning the nexus between deliberation and democratic practice--particularly in the American context--has re-focused attention on the normative consequences of socially-driven political behavior. Among the most common criticisms of interpersonal networks are that most people have very insular social circles, and that when they do not they are unlikely to engage in politics. In this paper we provide evidence that such pessimistic assessments are unwarranted, though for somewhat unexpected reasons. Using data from the American Component of the 1992 Cross-National Election Project and the 2000 American National Election Study, we examine whether and under what conditions social networks facilitate interest-based voting. Our findings indicate that when networks provide unambiguous signals regarding candidates, that they serve as potentially useful information shortcuts, facilitating connections between individuals\u27 vote decisions and their underlying preferences. And, because many Americans reside in reasonably supportive social environments, networks often help citizens make ``correct\u27\u27 voting decisions (Lau and Redlawsk 1997). In the end, social networks appear to help shoulder the demands of democratic theory, but not by helping people learn about politics in any traditional sense

Turnout Intention and Social Networks

How can networking affect the turnout in an election? We present a simple model to explain turnout as a result of a dynamic process of formation of the intention to vote within Erdös-Renyi random networks. Citizens have fixed preferences for one of two parties and are embedded in a given social network. They decide whether or not to vote on the basis of the attitude of their immediate contacts. They may simply follow the behavior of the majority (followers) or make an adaptive local calculus of voting (Downsian behavior). So they either have the intention of voting when the majority of their neighbors are willing to vote too, or they vote when they perceive in their social neighborhood that elections are "close". We study the long run average turnout, interpreted as the actual turnout observed in an election. Depending on the combination of values of the two key parameters, the average connectivity and the probability of behaving as a follower or in a Downsian fashion, the system exhibits monostability (zero turnout), bistability (zero turnout and either moderate or high turnout) or tristability (zero, moderate and high turnout). This means, in particular, that for a wide range of values of both parameters, we obtain realistic turnout rates, i.e. between 50% and 90%.turnout, social networks, adaptative behavior