Legislative voting dynamics in Ukraine

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Abstract

Current work in roll call modeling focuses on the legislative decision process and does not take advantage of the dynamic nature of legislation. Some political systems, such as Ukraine’s Verkovna Rada, are inherently dynamic, and should be modeled as such. In the model proposed, the entire legislative body is modeled together and bills are viewed as a dynamic process. This model requires no contextual information about individual legislators and predicts the amount of favorable votes a bill will receive within 6.2%, on average. Additionally, we find differences in behavior of bills proposed by the President and those proposed by parliament members or the Cabinet. This work only uses a simple differential model, opening the door to the use of more complex models capable of leveraging contextual information in the future.

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Magelinski, T., & Carley, K. M. (2018). Legislative voting dynamics in Ukraine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10899 LNCS, pp. 82–88). Springer Verlag. https://doi.org/10.1007/978-3-319-93372-6_10

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