Network diffusion models are used to study things like disease transmission, information spread, and technology …

, and different network layers. At the individual level, homophilous tendencies are persistent across time and network … those characteristics. We also document the nuanced impact of network connections on changes in Grade Point Average …

thinking about such social exchanges of models. The key assumption is that people adopt the interpretation in their network … that best explains the data, given their prior beliefs. An implication is that interpretations evolve within a network. For … many network structures, social learning mutes reactions to data: the exchange of models leaves beliefs closer to priors …

these issues using a model of (Bayesian) learning over a social network. Agents learn rapidly from and may also have … environment changes sufficiently rapidly, any network consisting of just strong links will do only a little better than random …