, 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 …

social network connections. Areas with more social ties to two early COVID-19 “hotspots” (Westchester County, NY, in the U …

We document that the recent house price experiences within an individual's social network affect her perceptions of the … anonymized social network information from Facebook with housing transaction data and a survey. We first show that in the survey …

, members of the majority group have more network connections and are exposed to more information than the minority group. We … US elections in a social network of 2.2 million politically-engaged Twitter users. Consistent with the model, we find … that members of the majority group in each state-level network have more connections and are exposed to more tweets than …

We define a general class of network formation models, Statistical Exponential Random Graph Models (SERGMs), that nest …' (including ERGMs) parameters estimated from the observation of a single network are consistent (i.e., become accurate as the … exponentially slow mixing times for many specifications, we show that by reformulating network formation as a distribution over the …

We develop and analyze a tractable empirical model for strategic network formation that can be estimated with data from … a single network at a single point in time. We model the network formation as a sequential process where in each period …, the characteristics of the potential partner, and on features of the current state of the network, such as whether the two …