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Network Analysis Made Simple

Eric Ma

Audience level:: Intermediate

Brief Summary

In this tutorial, you will learn about the basics of network science, and how to use what you've learned in a variety of applied settings! We will cover basic concepts such as nodes and edges, move onto the finding interesting structures and paths, and end with a selection from topics such as bipartite graphs, statistical inference on graphs and the deep connection to linear algebra!

Outline

Part 1: Introduction (25 min)

Introductory discussion
NetworkX API
Simple visualizations

5 min break

Part 2: Algorithms (45 min)

Finding important nodes
Pathfinding algorithms and their applications
Identifying interesting structures

5 min break

Part 3: Practical Matters (20 min)

Graph I/O
Testing

5 min break

Part 4: One of the following advanced topics (20 min):

Bipartite graphs
Linear algebra
Statistical inference on graphs