In human social systems many simultaneous interactions happening between individuals all the time. Similarly as in more primitive ant colony systems the amount of pheromone influence the ant future decision of path, in human social systems the interactions influence the future interactions between individuals. In the paper we give some properties of an interaction-based network model. Furthermore, we compare some network properties of this model with some other models and e-mail URV network.