Social Network Analysis

3 credits · Graduate School

Explores recent research on the analysis of social networks and on models and algorithms to abstract their properties and make predictions. Random graph models, network centrality measurements, computational methods of link prediction/recommender systems, clustering and classification on graphs, and network diffusion. Deep learning on graphs including network embedding and graph neural network models and applications. No credit for students who have earned credit for CS 4352 or DS 5720. [3]