  It has been experimentally shown that communities in social networks tend to
have a core-periphery topology. However, there is still a limited understanding
of the precise structure of core-periphery communities in social networks
including the connectivity structure and interaction rates between agents. In
this paper, we use a game-theoretic approach to derive a more precise
characterization of the structure of core-periphery communities.
