We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic network formation...

We consider a threshold contagion process over networks sampled from a graphon, which we interpret as a stochastic network formation model. We investigate whether the contagion outcome in the sampled networks can be predicted by only exploiting information about the graphon. To do so, we...

A graphon game can be seen either as a limit of a sequence of network games when the number of players tends to infinity, or a stochastic model for sampling network games. We show that, under mild conditions which allow for multiple best-responses, every graphon game has a Nash equilibrium. We...

We study the efficiency properties of oligopoly equilibria in congested networks. Our measure of efficiency is the difference between users' willingness to pay and delay costs. Previous work has demonstrated that in networks consisting of parallel links, efficiency losses from competition are...

This chapter develops a unified framework for the study of how network interactions can function as a mechanism for propagation and amplification of microeconomic shocks. The framework nests various classes of games over networks, models of macroeconomic risk originating from microeconomic...

This chapter develops a unified framework for the study of how network interactions can function as a mechanism for propagation and amplification of microeconomic shocks. The framework nests various classes of games over networks, models of macroeconomic risk originating from microeconomic...