Mathematical and computational modeling of political systems

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.