SOAN 365 - Modeling Social Networks

FDR: SC
Credits: 3

This course focuses on the statistical modeling of social networks. We will learn how to build models to develop and test theories about why any given network has the structure that it does. This generally means predicting who has ties with whom and developing and testing theories about why the pattern of ties in any given network emerges as it does. We will begin with a review of OLS and logistic regression. Our main focus, and student data assignments, will be on exponential random graph models (ERGMs) and on latent space models. We will also briefly cover the basics of models used to study diffusion and influence.