Open AccessA multi-temperature kinetic Ising model and its applications to partisanship dynamics in the US Senate
Author(s) -
Irina Mazilu,
A. P. Lorson,
S. Chad Gibbs,
W. Hanstedt,
Dan Mazilu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1391/1/012070
Subject(s) - statistical physics , ising model , kinetic energy , physics , politics , kinetic monte carlo , monte carlo method , social dynamics , field (mathematics) , dynamics (music) , stochastic dynamics , population , master equation , sociology , political science , classical mechanics , mathematics , social science , law , quantum mechanics , statistics , demography , pure mathematics , acoustics , quantum
As the political landscape becomes increasingly complex, the classic paradigms used in political science have failed to remain relevant and other methods of study are needed. We introduce a population dynamics model and a multi-temperature kinetic Ising model to analyze the partisanship dynamics of the US Senate. We use Monte Carlo simulations, mean field theory and numerical analysis of the master equation of a system of 100 senators (agents) separated into various categories based on their political leanings and interactions with each other. Results show an interesting development of partisanship between the agents after a short time. The model can be extended to other cooperative stochastic systems in physics and social sciences.