  In this paper, a model for a spatial network evolution based on a Metropolis
simulation is presented. The model uses an energy function that depends both on
the distance between the nodes and the stated preferences. The agents influence
their network neighbors opinions using the CODA model. That means each agent
has a preference between two options based on its probabilistic assessment of
which option is the best one. The algorithm generates realistic networks for
opinion problems as well as temporal dynamics for those networks. The
transition from a random state to an ordered situation, as temperature
decreases, is described. Different types of networks appear based on the
relative strength of the spatial and opinion components of the energy.
