If we want to imitate a complex human social behavior, we first need to understand the communication patterns inside human societies. We present an interaction-based network model, where each interaction between two individuals has an influence on the future interactions in a similar way as the pheromone trails influence the ant future decision of a path. In the paper, we analyze how this model obeys the features of social networks.