Stochastic Models of Social Networks

Stochastic models of agents' behavior in social networks are considered. Basing on these models the value of a network is evaluated for agents and for the control center – the principal. Social networks are classified on the basis of the factors influencing the behavior of agents in a social network. Equilibrium states of social networks are described along with their fluctuations. Various interpretations are studied in the limit when agents' number grows to infinity; the influence of other micro characteristics of social networks is also investigated