M. F. Laguna, G. Abramson, D. H. Zanette, Physica A 329, 459 (2003)
We present numerical simulations of a model of social in"uence, where the opinion of each agent is represented by a binary vector. Agents adjust their opinions as a result of random encounters, whenever the di4erence between opinions is below a given threshold. Evolution leads to a steady state, which highly depends on the threshold and a convergence parameter of the model. We analyze the transition between clusteredandhomogeneous steady states. Results of the cases of complete mixing andsmall-worldnetworks are compared.