  Formalism based on equilibrium statistical thermodynamics is applied to
communication networks of decision making individuals. It is shown that in
statistical ensembles for choice models, properly defined disutility can play
the same role as energy in statistical mechanics. We demonstrate additivity and
extensivity of disutility and build three types of equilibrium statistical
ensembles: the canonical, the grand canonical and the super-canonical. Using
Boltzmann-like probability measure one reproduce the logit choice model. We
also propose using q-distributions for temperature evolution of moments of
stochastic variables. The formalism is applied to three network topologies of
different degrees of symmetry, for which in many cases analytic results are
obtained and numerical simulations are performed for all of them. Possible
applications of the model to airline networks and its usefulness for practical
support of economic decisions is pointed out.
