Tyler Derr - Instructor Experience

Vanderbilt University: Instructor

CS 4352/5352: Social Network Analysis

Fall 2022
Course Description:
Explores recent research on the analysis of social networks and on models and algorithms that are used to abstract their properties and make predictions. Key topics covered in this course are: Random graph models; Network centrality measurements; Computational methods of link prediction/recommender systems, clustering and classification on graphs, and network diffusion; Deep learning on graph including network embedding and graph neural network models and applications. (Officially added to VU Course Catalog)

CS 3891/5981-06: Social Network Analysis

Fall 2021 & Fall 2020
Course Description:
Explores recent research on the analysis of social networks and on models and algorithms that are used to abstract their properties and make predictions. Key topics covered in this course are: Graph models; Network centrality measurements; Computational methods of link prediction, clustering and classification on graphs, and network diffusion; Deep learning on graphs including network embedding and graph neural network models and applications; Case studies in signed networks and knowledge graphs. (Listed as a CS Special Topics course) Fall 2020 Teaching Innovation Award from the School of Engineering at Vanderbilt University

DS 5720: Social Network Analysis

Spring 2021 & Spring 2022
Course Description:
Explores recent research on the analysis of social networks and on models and algorithms that are used to abstract their properties and make predictions. Key topics covered in this course are: Graph models; Network centrality measurements; Computational methods of link prediction, clustering and classification on graphs, and network diffusion; Deep learning on graphs including network embedding and graph neural network models and applications; Case studies in signed networks and knowledge graphs.