Network Analysis

Lectures

Week 1: Basic Graph Theory

Week 2: Basic Graph Theory #2

Week 3: Basic Graph Properties

Week 4: Basic Graph Properties #2

Week 5: Graphs as Matrices

Week 6: Graph Models

Week 7: Events on Graphs

Week 8: Real World Networks

Week 9: Introduction to the Mesoscale

Week 10: Community Discovery

Week 11: Community Discovery #2

Week 12: Community Discovery #3

Practice

Week 1: Introduction to Networkx

Week 2: Networkx Graph Objects & Extensions

Week 3: Basic Graph Stats with Networkx and Pandas

Week 4: Network Centrality

Week 5: Basics of Linear Algebra with Numpy/Scipy

Week 6: Generate Synthetic Graphs with Networkx

Week 7: Events on Graphs

Week 8: Edge Inducing, Backboning, and Sampling

Week 9: Assortativity, Disassortativity, and Core-Periphery