Broadly speaking, relational data are observations and outcomes as measured between two individual units: people, schools, countries, and so forth -- a field that includes (binary) social network analysis as a subgroup. I focus on methods for evaluating and predicting relations based on individual and relational characteristics, and on the outcomes measured on the units that make up these networks.. In particular, I use hierarchical/multilevel modelling and tools provided by Bayesian computational statistics to shed new light on old methods and models.

I investigate the accuracy and sensitivity of network results to dichotomization and censoring of network ties.

I research the conditions under which we can infer contagion on social networks, and how we can distinguish it from homophily, or the tendency of similar people to be connected. Cosma Shalizi and I are skeptical.