Ernest J Wilson III

The study of networks and network science has grown in the last decade, but most network models fail to capture the costs or loss of value of exclusion from the network. Intuitively, as a network grows in size and value, those outside the network face growing disparities. This new direction is relevant too for the design of policy interventions as well as for shifting the scholarly research agenda toward greater focus on inequality and exclusion.

The study of networks has grown recently, but most existing models fail to capture the costs or loss of value of exclusion from the network. Intuitively, as a network grows in size and value, those outside the network face growing disparities. We present a new framework for modeling network exclusion, showing that costs of exclusion can be absolute, and might, at the extreme, eventually grow exponentially, regardless of underlying network structure.