We analyze boundedly rational learning in social networks within binary action environments. We establish how learning … induces learning (i.e., convergence to the optimal action for every agent in every connected network) only in highly … asymmetric environments. In all other environments learning fails in networks with a diameter larger than four. Finally, we …

We study learning and influence in a setting where agents communicate according to an arbitrary social network and …

We study learning and influence in a setting where agents communicate according to an arbitrary social network and …

concerning the role of those characteristics in determining learning, diffusion, decisions, and resulting behaviors. We also …

We investigate how the selection process of a leader affects team performance with respect to social learning. We use a … models of social learning to investigate the micro-level mechanisms. We find that overconfidence and conservatism contribute …

We study learning and influence in a setting where agents communicate according to an arbitrary social network and …