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

We study social learning in a social network setting where agents receive independent noisy signals about the truth …

broadcast or sent via shortest paths; only connection density matters. In contrast, homophily substantially slows learning based … friendship networks from the Adolescent Health dataset. -- Networks ; Learning ; Diffusion ; Homophily ; Friendships ; Social … Networks ; Random Graphs ; Mixing Time ; Convergence ; Speed of Learning ; Speed of Convergence …

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by … links. This means that in the design of networks there exists a trade-off between the speed of learning and accuracy. …

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 model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in … neighbors' past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and …

This paper proposes a behavioral model of social learning that unies various forms of inferential reasoning in one … present evidence from three sources that these are the prevalent types of reasoning in social learning: a review of social … learning studies, existing data from Celen and Kariv (2004) as well as new experimental data that includes written accounts of …

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

the nature of the task at the second date further shows that learning is unencumbered by a change in environment. Our …