, connections increase over time, but homophily on gender and ethnicity is relatively constant across time, university residences …, and different network layers. At the individual level, homophilous tendencies are persistent across time and network … layers. Furthermore, we see assortativity in homophilous tendencies. There is weaker, albeit significant, homophily over …

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 …

, 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 a theoretical model of security investments in a network of interconnected agents. Network connections … strategic substitutes. In a general (non-symmetric) network, this implies that underinvestment by some agents will encourage … symmetric or locally tree-like. We also characterize the impact of network structure on equilibrium and optimal investments …

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 …