This module will provide an introduction to networks and graph theory, as well as tools for generating, analyzing, and visualizing network models. This will involve some very light-touch, guided use of Python. By the end of the module, we will be using the collections that we compiled and curated in Module 1, as well as bibliographic metadata from other sources, to create a variety of corpus-based network models. We will move through this module in parts, and post material for each part as we go along.
Before You Proceed!
If you haven't finished installing all of the software in Preparing your computer for the course, please do so now.