Pattern Analysis of Voting in the 2016 Elections to the State Duma of the Federal Assembly of the Russian Federation

Student: Kudryashov Kirill

Educational Programme: Political Science (Bachelor)

Final Grade: 9

Year of Graduation: 2017

The general purpose of the study is to provide a meaningful classification of electoral outcomes in the 2016 Elections to the State Duma of the Federal Assembly of the Russian Federation. Pattern analysis is an advanced method for an optimal solution to this problem. Twenty-three patterns have been obtained by using two separate pattern clustering algorithms. Each pattern is characterized by different types of voting in various subjects of the Russian Federation. Based on a number of factors, these patterns have been combined into six metaclusters, which prove to be more accurate tools for interpreting electoral behaviour in the regions of Russia.

Full text (added May 22, 2017)

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