Community Structures in Information Networks for a Discrete Agent Population

Using a game-theoretic framework, we characterize the community structure that emerges in a social (information) network. Our analysis generalizes the results in [1, 2] that were obtained for the case of a continuous population model for the agents in the social network, to the case of a discrete agent population model. We note that a discrete agent set reflects more accurately real-life information networks, and are needed in order to get additional insights into the community structure, such as for example the connectivity (graph structure) within in a community, as well as information dissemination within a community.