network of agents. In our model, agents are identically informed a priori and observe network neighbors’ actions as well as … observed payoffs and imitate observed actions. Our results also allow us to interpret critical mass and network brokerage …

agents are myopic best responders. We develop a new network measure, the contagion threshold, that determines when a p … show that a p-dominant action spreads to the whole network whenever the contagion threshold of that network is greater or … the long run. This result implies that targeted contagion, a network-wide diffusion of actions initiated by targeting …

We study the diffusion of a true and a false opinion (the rumor) in a social network. Upon hearing an opinion …

I study information diffusion in a social network where a third party can control the precision of information as well … each other through links in a social network. The designer relies on this word-of-mouth communication channel to diffuse …

We combine network formation and information transmission in a simple model and predict that people reveal less …

network core do exhibit cross-sectional evidence of polarization and are responsible for the majority of tweets received …

This paper considers a population of agents that are engaged in a listening network. The agents wish to match their … neighbors in the network. I derive a closed expression for the (interim) social welfare loss that depends on the initial … information structure and on the possible pieces of information that can be gathered under the network. Then, I explore how …

We study the formation of a subscription network where a continuum of strategic, Bayesian subscribers decide to …

In this paper, we study a model of online news dissemination on a Twitter-like social network. Given a noisy … further investigate the impact of the network structure, heterogeneity of priors, and precision levels of news on the ex …