This paper studies the diffusion of products and behaviour with coordination effects through social networks when agents are myopic best responders. We develop a new network measure, the contagion threshold, that determines when a p-dominant action – an action that is a best response when...

Processes of polarization have been documented in several applications. Yet most existing theories focus on how herding behavior and convergence of opinions tend to occur in different contexts. In this paper we develop a model where agents correct their heterogeneous initial opinion by averaging...

This paper studies the long-run (stochastic) stability of an evolutionary model with persistent randomness in network games. We focus on evolutionary dynamics in symmetric coordination games where players choose the best responses to their opponents' strategies. Recent studies find that the...

I study social learning in networks with information acquisition and choice. Bayesian agents act in sequence, observe the choices of their connections, and acquire information via sequential search. Complete learning occurs if search costs are not bounded away from zero and the network is...

Identifying the optimal set of individuals to first receive information (‘seeds') in a social network is a widely-studied question in many settings, such as diffusion of information, spread of microfinance programs, and adoption of new technologies. Numerous studies have proposed various...

We study the computations that Bayesian agents undertake when exchanging opinions over a network. The agents act repeatedly on their private information and take myopic actions that maximize their expected utility according to a fully rational posterior belief. We show that such computations are...

I model the behavior of decision-makers seeking conformity and influence in a connected population. The model allows for one-sided linking, with information flowing from the target to the link's originator. Conformity is achieved only with a social order, necessitating differentiated rewards...

Designing interventions aimed at fostering peer effects in schools requires knowledge of how individuals endogenously sort into groups. We propose a theoretical model where agents form groups endogenously and their outcomes are affected accordingly. Using a popular payoff structure, we show that...

e study whether maximum efficiency can be obtained in a stochastic learning model where players can actively form links with a limited number of peers to play a size-dependent minimum-effort game. The long-run equilibrium is contingent on the linking constraint and the marginal payoff from...

Agents in a network want to learn the state of the world from their own signals and their neighbors' reports. But they are cognitively-constrained: they have finite and heterogeneous cognitive abilities. We model cognitive ability as a measure of their sophistication when they reason on behalf...