We study a coordination game among agents on a network, who choose whether or not to take an action in an uncertain environment that yields value increasing in the actions of neighbors. We develop an algorithm that fully characterizes the equilibrium partitions (coordination sets) and thresholds...

We study the optimal welfare maximising intervention in a multiple activity network model taking into account both within-activity network spillovers and cross-activity interdependences. We analyse the effects of a restriction in the intervention space, by limiting the activities which the...

Most network games assume that the best response of a player is a linear function of the actions of her neighbors; clearly, this is a restrictive assumption. We developed a theory called sign-equivalent transformation (SET) underlying the mathematical structure behind a system of equations...

We develop a network model of conflict in which players are involved in different battles. A negative shock in one locality affects the conflict in this locality but may also increase battles in path-connected localities depending on the location of the battle in the network and the strength of...