This paper investigates the robustness of three of the core insights of the DeGroot model of boundedly rational updating in social networks. Two updating systems are ε-close if their supremum norm distance is equal to ε. An ε-perturbation of a DeGroot (weighted average) updating system is any...

We analyze boundedly rational updating in a repeated interaction network model with binary actions and binary states. Agents form beliefs according to discretized DeGroot updating and apply a decision rule that assigns a (mixed) action to each belief. We first show that under weak assumptions...

This paper develops a model of repeated interaction in social networks among agents with differing degrees of sophistication. The focus of the model is observational learning; that is, each agent receives initial private information and makes inferences regarding the private information of...