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In this paper, the authors analyze the network effect in a model of a personal communication market, by using a multi-agent based simulation approach. They introduce into the simulation model complex network structures as the interaction patterns of agents. With complex network models, they investigate the dynamics of a market in which two providers are competing. They also examine the structure of networks that affect the complex behavior of the market. By a series of simulations, they show that the structural properties of complex networks, such as the clustering coefficient and degree correlation, have a major influence on the dynamics of the market.
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