Skip to main content
SpringerLink
Log in

Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map

  • Conference paper
Advances in Self-Organizing Maps (WSOM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5629))

Included in the following conference series:

Abstract

The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesis-driven statistical analysis of some numerical data. In this article, we present a complementary method based on data mining and specifically on the use of the self-organizing map. The idea in data mining is to explore the given data without predetermined hypotheses. As a case study, we explore the relationship between parliamentary election results and socio-economic situation in Finland between 1954 and 2003.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berg, M., Kaipainen, M., Kojo, I.: Enhancing Usability of the Similarity Map for More Accessible Politics. In: Proceedings in 8th ERCIM Workshop, User Interfaces For All, Vienna, Austria (2004)

    Google Scholar 

  2. Berg, M., Marttila, T., Kaipainen, M., Kojo, I.: Exploring Political Agendas with Advanced Visualizations and Interface Tools e-Service Journal 4(2), 47–63 (2006)

    Google Scholar 

  3. Deboeck, G., Kohonen, T. (eds.): Visual Explorations in Finance with Self-Organizing Maps. Springer, Berlin (1998)

    MATH  Google Scholar 

  4. The Finnish Government n.d., MIKO-ministeritietojärjestelmä (The Finnish Minister Database), http://www.valtioneuvosto.fi/hakemisto/ministerikortisto/raportti.asp (retrieved November 13, 2005)

  5. Janasik, N., Honkela, T., Bruun, H.: Text Mining in Qualitative Research: Application of an Unsupervised Learning Method. Organizational Research Methods (2008), http://orm.sagepub.com/cgi/content/abstract/1094428108317202v1

  6. Johansson, K.M., Raunio, T.: Partisan responses to Europe: comparing Finnish and Swedish political parties. Eur. J. of Political Research 39(2), 25–49 (2001)

    Google Scholar 

  7. Kaski, S., Kohonen, T.: Exploratory data analysis by the self-organizing map: Structures of welfare and poverty in the world. In: Neural Networks in Financial Engineering, pp. 498–507. World Scientific, Singapore (1996)

    Google Scholar 

  8. Keinänen, P.: Työttömyys (Unemployment). In: Andreasson, K., Helin, V. (eds.) Suomen vuosisata, pp. 74–79. Statistics Finland, Helsinki (1999)

    Google Scholar 

  9. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biological Cybernetics 43, 59–69 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  10. Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer, Berlin (2001)

    Book  MATH  Google Scholar 

  11. Korhonen, T.: Finnish monetary and foreign exchange policy and the changeover to the euro. Bank of Finland discussion papers (2001)

    Google Scholar 

  12. Länsiluoto, A., Eklund, T., Back, B., Vanharanta, H., Visa, A.: Industry Specific Cycles and Companies’ Financial Performance - Comparison with Self-Organizing Maps. Benchmarking. An International Journal 11(4), 267–286 (2004)

    Google Scholar 

  13. Lee, J.A., Lendasse, A., Verleysen, M.: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57, 49–76 (2004)

    Article  Google Scholar 

  14. Lendasse, A., Lee, J.A., Wertz, V., Verleysen, M.: Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing 48(1-4), 299–311 (2002)

    Article  MATH  Google Scholar 

  15. Lewis-Beck, M.S.: Economic Conditions and Executive Popularity: The French Experience. American Journal of Political Science 24, 306–333 (1980)

    Article  Google Scholar 

  16. Martikainen, P., Martikainen, T., Wass, H.: The effect of socioeconomic factors on voter turnout in Finland: A register-based study of 2.9 million voters. European Journal of Political Research 44(5), 645–669 (2005)

    Article  Google Scholar 

  17. Statistics Finland 2004, Parliamentary elections 2003, elections 2004:1, Edita Prima Oy, Helsinki, p. 8, p. 11 and p. 15 (2004)

    Google Scholar 

  18. Raunio, T., Tiilikainen, T.: Finland in the European Union. Frank Cass, London (2003)

    Google Scholar 

  19. Tuia, D., Kaiser, C., Cunha, A., Kanevski, M.: Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. In: Proceedings of the international conference on Computational Science and its Applications, pp. 52–64. Springer, Berlin (2008)

    Google Scholar 

  20. Venna, J., Kaski, S.: Local multidimensional scaling. Neural Networks 19(6), 889–899 (2006)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Helsinki University of Technology, Centre of Adaptive Informatics, P.O. Box 5400, 02015, TKK, Finland

    Pyry Niemelä & Timo Honkela

Authors
  1. Pyry Niemelä
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Timo Honkela
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computational NeuroEngineering Laboratory, University of Florida,, Gainesville, FL, USA

    José C. Príncipe

  2. Department of Computer Sciences, The University of Texas at Austin, Austin, TX, USA

    Risto Miikkulainen

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Niemelä, P., Honkela, T. (2009). Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map. In: Príncipe, J.C., Miikkulainen, R. (eds) Advances in Self-Organizing Maps. WSOM 2009. Lecture Notes in Computer Science, vol 5629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02397-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02397-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02396-5

  • Online ISBN: 978-3-642-02397-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation