Mathematical Humanists: Graph Theory and Networks Self-Guided Workshop

Syllabus

Instructor: Jessica Otis, jotis2@gmu.edu

Learning Outcomes:

You should walk away from this course with the following knowledge:
- What the underlying mathematical concepts in a network are
- How to format humanities data for network analysis
- How to visualize networks in order to convey a narrative argument
- How to quantitatively analyze and interpret network structures

Preparation for the Course:

To follow along complete with the course activities, you will want to install Gephi. You can find the free download at https://gephi.org. Gephi can be finicky but if you have trouble with the software, there are online tutorials and guides for fixing whatever problems you encounter.

Recommeded Readings:

  1. Ruth Ahnert, Sebastian E. Ahnert, Catherine Nicole Coleman, and Scott Weingart, The Network Turn: Changing Perspectives in the Humanities (Cambridge: Cambridge Elements, 2021), https://www.cambridge.org/core/elements/network-turn/CC38F2EA9F51A6D1AFCB7E005218BBE5.
  2. Something from the Journal of Historical Network Research, https://jhnr.uni.lu/index.php/jhnr/issue/archive

Schedule: Full playlist on YouTube

Additional Reading Options

Books:

Articles:

Digital Projects: