diffusion. We discuss some highlights from the empirical literature on the impact of networks on behaviors and diffusion. We …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

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

collective learning. The present paper provides a summary of this research. …

, learning and diffusion, and network games. I also include some background on social network characteristics and measurements …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

This paper presents a non-Bayesian model of social learning in networks in an environment with a finite set of actions …

taking an (irreversible) action. We define \textit{asymptotic learning} as the fraction of agents taking the correct action … converging to one as a society grows large. Under truthful communication, we show that asymptotic learning occurs if (and under … ``information hubs'', which receive and distribute a large amount of information. Asymptotic learning therefore requires information …

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 …