Latent Factor Models for Relational Data and Social Networks

Explore latent factor models for analyzing relational data and social networks in this lecture by Peter Hoff from the University of Washington. Learn how statistical modeling techniques can uncover hidden structures and patterns within complex network relationships. Discover the mathematical foundations and practical applications of latent factor approaches for understanding social connections, network dynamics, and relational patterns in data. Examine how these models can reveal underlying factors that influence relationships between entities in social networks and other relational datasets. Gain insights into the computational methods and statistical inference techniques used to estimate latent factors and their role in explaining observed relational structures.