A team of physicists working at IFISC in Palma de Mallorca, Spain has used a computer simulation originally designed to model the transition of iron between magnetized states to create a model to do something similar for voting patterns in the United States. In their paper published in Physical Review Letters, the team describes how they used factors of influence by interactions between voters to create a model that accurately predicted how influenced voters would vote.
Creating a computer model that can accurately predict the outcome (the winner and loser) of an election is still just a pipe dream, of course. What is possible though is modeling human behavior as it relates to voter patterns. One such behavior is the tendency of voters to be impacted by the opinions of others, whether those of people that live near them, or those that commute to places where they work. It’s this tendency that the team in Spain has tried to model.
Read more at: Phys.org