We examine the spread of a disease or behavior through a social network. In particular, we analyze how infection rates … first- and second order stochastic dominance relationships of the degree distribution in order to compare infection rates … across different social networks. …

The paper examines individuals’ abilities to identify the highly central people in their social networks, where … centrality is defined by diffusion centrality (Banerjee, Chandrasekhar, Duflo, and Jackson, 2013), which characterizes a nodeâ …€™s influence in spreading information. It first show that diffusion centrality nests standard centrality measures – degree …

We examine how three different communication processes operating through social networks are affected by homophily … on repeated averaging of neighbors' information and Markovian diffusion processes such as the Google random surfer model … friendship networks from the Adolescent Health dataset. …

social networks act as substitutes in the diffusion of knowledge. …Although prior empirical research has established an association between science and the widespread diffusion of … investigates whether the knowledge diffusion associated with science-based innovation stems from the norm of openness and …

networks for which there is a convergence of beliefs. Finally, we survey some recent structural results on the speed of …

This paper considers a model of observational learning in social networks. Every period, the agents observe the actions … state, i.e. where every agent chooses the same action. Subsequently, we extend our analysis to infinitely large networks and …

We survey the literatures on the economic consequences of the structure of social networks. We develop a taxonomy of … 'macro' and 'micro' characteristics of social inter-action networks and discuss both the theoretical and empirical findings … concerning the role of those characteristics in determining learning, diffusion, decisions, and resulting behaviors. We also …

. However, as in much of sub-Saharan Africa, the adoption and diffusion of such technologies has been slow. We use data from the … fertiliser. We use the structure of spatial networks of farmers and panel data to identify these influences and find that while …