Dr. Salvatore Miccichè
Dipartimento di Fisica e Chimica, Facoltà di Medicina e Chirurgia, Università degli Studi di Palermo
Room 281, Physics and Astronomy Dept., via Sansone 1, Sesto Fiorentino
Published on-line at 05:16:31 PM on Tuesday, May 21st, 2013
Statistical characterization of communities in a social system: the elected in the finnish 2011 elections
Seventh seminar in the series "Sguardi sulla complessità" on complexity by CSDC, ISC and Physics Dept. of CNR and Università di Firenze.
We first review a recently proposed method that allows to statistically characterize the communities detected in a network in terms of a set of specific attributes. We then apply this methodology to a specific complex system. In fact, we consider the system of the candidates and elected in the 2011 finnish parliament elections. By analyzing a database of a questionnaire answered by a large majority of candidates and elected in a parliamentary election, we quantitatively verify that (i) female candidates on average present political profiles which are more compassionate and more concerned with social welfare issues than male candidates and (ii) the voting procedure acts as a process of information aggregation (10.1371/journal.pone.0058910).
Our results show that information aggregation proceeds with at least two distinct paths. In the first case candidates characterize themselves with a political profile aiming to describe the profile of the majority of voters. This is typically the case of candidates of political parties which are competing for the center of the various political dimensions. In the second case, candidates choose a political profile manifesting a clear difference from opposite political profiles endorsed by candidates of a political party positioned at the opposite extreme of some political dimension.
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