Theory and Methods for the Analysis of Social Networks
Introduction to basic principles of analyzing relational data. Consider deterministic and probabilistic specifications of networks and graphs, studying structural blockmodels, the Erdos-Renyi model, the exponential random graph model, the stochastic blockmodel, generalizations to latent space models and to more complex relational data. Development of these models and practical understanding of how to fit them. There is no book, lectures will be supplemented with discussions of relevant papers. Prerequisite: Statistical Science 601 or 602L. Corequisite: Statistical Science 532 or 732.
Prerequisite: Statistical Science 360 or 601 or 602L; Pre/Corequisite Statistical Science 532 or 732