6533b833fe1ef96bd129b92e

RESEARCH PRODUCT

Structure and evolution of a European Parliament via a network and correlation analysis

Jyrki PiiloMichele TumminelloElena PuccioAntti Pajala

subject

Statistics and ProbabilityPhysics - Physics and SocietyOperations researchComplex systemBipartite system; Community detection; Complex systems; Correlation analysis; Networks; Social systems; Statistics and Probability; Condensed Matter PhysicsParliamentmedia_common.quotation_subjectOpposition (politics)FOS: Physical sciencesNetworkPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasElectoral districtPolitical science0103 physical sciencesSimilarity (psychology)Correlation analysiRegional scienceSocial system010306 general physicsmedia_commonStructure (mathematical logic)GovernmentCommunity detectionCondensed Matter PhysicsBipartite systemQuantitative analysis (finance)Social system

description

We present a study of the network of relationships among elected members of the Finnish parliament, based on a quantitative analysis of initiative co-signatures, and its evolution over 16 years. To understand the structure of the parliament, we constructed a statistically validated network of members, based on the similarity between the patterns of initiatives they signed. We looked for communities within the network and characterized them in terms of members' attributes, such as electoral district and party. To gain insight on the nested structure of communities, we constructed a hierarchical tree of members from the correlation matrix. Afterwards, we studied parliament dynamics yearly, with a focus on correlations within and between parties, by also distinguishing between government and opposition. Finally, we investigated the role played by specific individuals, at a local level. In particular, whether they act as proponents who gather consensus, or as signers. Our results provide a quantitative background to current theories in political science. From a methodological point of view, our network approach has proven able to highlight both local and global features of a complex social system.

10.1016/j.physa.2016.06.062http://hdl.handle.net/10447/247200