{private signal} correlated with the underlying state, they exchange information over the induced \textit{communication network} until … some additional conditions, also only if) in the induced communication network most agents are a short distance away from … response, it is an equilibrium when the communication network induces asymptotic learning. Moreover, we contrast equilibrium …

This paper develops a simple model in which a social hierarchy emerges endogenously when agents form a network for …, as well as their value function, increases (strictly) concavely in the total activity of their neighbours in the network … endogenise network formation, equilibria become strongly structured: more active players have more neighbours, i.e. a higher …

We address the problem of a planner looking for the efficient network when agents play a network game with local … complementarities and links are costly. We show that for general network cost functions, efficient networks belong to the class of … Nested-Split Graphs. Next, we refine our results and find that, depending on the specification of the network cost function …

This paper studies a game of attack and interception in a network, where a single attacker chooses a target and a path … characterize equilibrium attack paths and attack distributions as a function of the underlying network and target values. We show …

We develop a dynamic framework of strategic information transmission through cheap talk in a social network. Privately … their neighbors in the network. We first characterize myopic (best response) equilibria as well as fully informative myopic … dominate farsighted equilibria, in particular if a social planner has designed the network optimally. …

{private signal} correlated with the underlying state, they exchange information over the induced \textit{communication network} until … some additional conditions, also only if) in the induced communication network most agents are a short distance away from … response, it is an equilibrium when the communication network induces asymptotic learning. Moreover, we contrast equilibrium …