Monte Carlo Simulations of Opinion Dynamics
  We briefly introduce a new promising field of applications of statistical physics, opinion dynamics, where the systems at study are social groups or communities and the atoms/spins are the individuals (or agents) belonging to such groups. The opinion of each agent is modeled by a number, integer or real, and simple rules determine how the opinions vary as a consequence of discussions between people. Monte Carlo simulations of consensus models lead to patterns of self-organization among the agents which fairly well reproduce the trends observed in real social systems. 
Santo Fortunato (Univ. of Bielefeld & Univ. of Catania)