Seminar Details

Seminar Details


Aug 19

1:30 pm

Statistical Models for Social Network Data and Processes

Pavel Krivitsky

Final Exam

University of Washington - Department of Statistics

This work deals with three areas of network modeling. First, in the area of latent space modeling of social networks, it develops and extends latent cluster social network models by adding random effects and providing efficient algorithms for fitting these models. Second, it explores properties of ERGM and ERGM-based models under changing network size, and proposes a way of addressing the problems that arise. Third, in the area of dynamic networks, it proposes and develops a model separating tie formation process from tie dissolution process, facilitating flexible and realistic simulation of dynamic networks. Methods for integrating of adjustments for network size changes into the dynamic models are also developed.