Simulation of public opinion with ideas of cellular automata

Abstract

Cellular automata approach for public opinion modeling is considered. Aiming the possibility of a practical use, we extend standard peer effects model by introducing the idea of states dependence and irregular lattice into it. The applicability of proposed approach was examined by modeling the parliamentary elections in Ukraine.