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

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  • Puccio, Elena
  • Pajala, Antti
  • Piilo, Jyrki
  • Tumminello, Michele

Abstract

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.

Suggested Citation

  • Puccio, Elena & Pajala, Antti & Piilo, Jyrki & Tumminello, Michele, 2016. "Structure and evolution of a European Parliament via a network and correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 167-185.
    • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:167-185
    DOI: 10.1016/j.physa.2016.06.062
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    References listed on IDEAS

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    1. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    2. Chester Curme & Michele Tumminello & Rosario N. Mantegna & H. Eugene Stanley & Dror Y. Kenett, 2015. "Emergence of statistically validated financial intraday lead-lag relationships," Quantitative Finance, Taylor & Francis Journals, vol. 15(8), pages 1375-1386, August.
    3. Vasilis Hatzopoulos & Giulia Iori & Rosario N. Mantegna & Salvatore Miccich� & Michele Tumminello, 2015. "Quantifying preferential trading in the e-MID interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 693-710, April.
    4. Iori, Giulia & Mantegna, Rosario N. & Marotta, Luca & Miccichè, Salvatore & Porter, James & Tumminello, Michele, 2015. "Networked relationships in the e-MID interbank market: A trading model with memory," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 98-116.
    5. Zhang, Yan & Friend, A.J. & Traud, Amanda L. & Porter, Mason A. & Fowler, James H. & Mucha, Peter J., 2008. "Community structure in Congressional cosponsorship networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(7), pages 1705-1712.
    6. Michele Tumminello & Salvatore Miccichè & Fabrizio Lillo & Jyrki Piilo & Rosario N Mantegna, 2011. "Statistically Validated Networks in Bipartite Complex Systems," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    7. Tumminello, Michele & Lillo, Fabrizio & Mantegna, Rosario N., 2010. "Correlation, hierarchies, and networks in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 40-58, July.
    8. Michele Tumminello & Christofer Edling & Fredrik Liljeros & Rosario N Mantegna & Jerzy Sarnecki, 2013. "The Phenomenology of Specialization of Criminal Suspects," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-8, May.
    9. Michele Tumminello & Salvatore Miccichè & Jan Varho & Jyrki Piilo & Rosario N Mantegna, 2013. "Quantitative Analysis of Gender Stereotypes and Information Aggregation in a National Election," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
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