Abstract
This paper proposes a new modeling approach for describing the dynamics of political systems. For that purpose, real-world data series from several countries is considered. More specifically, democratic systems of six European countries involving elections that produce a parliament supporting the government are analyzed. First, the information is processed by means of multidimensional scaling and computational visualization techniques. Second, an analogy toward multi-particle systems is formulated, leading to an interpretation close to those adopted in physics.
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Acknowledgements
The author thanks the help of the following colleagues in collecting and understanding the raw data from their countries: Robin De Keyser, Anastasios Lazopoulos, Dariusz Brzeziński, Juan Luis Garcia Girao, António Vega, and Mohamed Torbati.
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Machado, J.T. Mathematical and computational modeling of political systems. Nonlinear Dyn 96, 1471–1490 (2019). https://doi.org/10.1007/s11071-019-04865-2
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DOI: https://doi.org/10.1007/s11071-019-04865-2