We study an dynamical model on complex networks. The model is based on a multi agent modeling which is aimed for representing 'Network Effect' in a market of personal communication services. By series of numerical simulations using various models of complex networks, we found two classes in resulting dynamics which are dependent on underlying network structures as well as parameter settings. We also apply the model on a real social network data, and discuss the simulation results in relation with the network models.
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