Abstract
We analyze the network effect in a personal communication market using a multi agent model in a network. Using several complex network models, we investigate the dynamics of a market in which two providers are competing as well as the structure of networks that affects the complex behaviors of the market. Through a series of simulations, we show that the structural properties of the complex networks, such as the clustering coefficient and degree correlations, have a major influence on dynamics of the market.
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