, summary network parameters (e.g., the degree distribution or transitivity index); and (iii) empirical models of strategic … network formation admitting interdependencies in preferences. Current research challenges and open questions are also …

This paper presents and structurally estimates a model of endogenous network formation and legislative activity of … of Congress as exogenously given and instead embed it in a model of endogenous network formation useful for developing …

We develop and estimate a model of student study time on a social network. The model is designed to exploit unique data …: own study time may depend on friend study time in a heterogeneous manner. Social network data allow us to embed study time …

This paper investigates how the destabilizing of a social network may increase the scope of network externalities … adopt relative to those in other cities. Empirical analysis suggests that the aggregate effect of network externalities on …

We develop a heterogeneous-agents network-based model to analyze alternative policies during a pandemic outbreak … in relation to the underlying heterogeneity in population density, social network structures, population health, and …

diffusion models on rich social network data from 200 villages in Malawi to identify seed farmers to target and train on the new … technology. A randomized controlled trial compares these theory-driven network targeting approaches to simpler strategies that … either rely on a government extension worker or an easily measurable proxy for the social network (geographic distance …

network connections to get it. For the sender, a higher bias increases the impact per direct receiver, yet diminishes the … close to zero or one, but not in-between. The impact of network density depends on this probability as well …