We investigate the polarization of opinions in a social network. We suggest a model of polarization which is based ongame theory. Every agent has a goal and chooses his strategy to make a function of aggregated opinion to be close to his goals possible. We found that such a system tends to polarize andsuggested a model control this. Our approach is suitable for scalar, vector and more general opinions. We provide results of mathematical modeling.