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Analyzing Parliamentary Elections Based on Voting Advice Application Data

  • Jaakko Talonen
  • Mika Sulkava
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7014)

Abstract

The main goal of this paper is to model the values of Finnish citizens and the members of the parliament. To achieve this goal, two databases are combined: voting advice application data and the results of the parliamentary elections in 2011. First, the data is converted to a high-dimension space. Then, it is projected to two principal components. The projection allows us to visualize the main differences between the parties. The value grids are produced with a kernel density estimation method without explicitly using the questions of the voting advice application. However, we find meaningful interpretations for the axes in the visualizations with the analyzed data. Subsequently, all candidate value grids are weighted by the results of the parliamentary elections. The result can be interpreted as a distribution grid for Finnish voters’ values.

Keywords

Parliamentary Elections Visualizations Principal Component Analysis Kernel Density Estimation Missing Value Imputation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jaakko Talonen
    • 1
  • Mika Sulkava
    • 1
  1. 1.Department of Information and Computer ScienceAalto University School of ScienceAaltoFinland

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