Optional Module: Network Analysis

This module is intended to introduce you to historical network analysis. The readings and discussion will give you a basic understanding of networks and how historians and art historians are currently using them. The technical activities will let you construct and analyze an historical social network.

Readings/Discussion

1. Scott Weingart, “Demystifying Networks, Parts I & II” (2011).

2. Ruth Ahnert and Sebastian E. Ahnert, “Protestant Letter Networks in the Reign of Mary I: A Quantitative Approach,” ELH 82.1 (2015) OR if you’re really interested, they have a book Tudor Networks of Power (Oxford University Press, 2024).

3. Matthew Lincoln, “Social Network Centralization Dynamics in Print Production in the Low Countries, 1550-1750,” International Journal for Digital Art History 2 (2016).

4. Ruth Ahnert, Sebastian E. Ahnert, Catherine Nicole Coleman, and Scott Weingart, The Network Turn: Changing Perspectives in the Humanities (Cambridge: Cambridge Elements, 2021). Note: while this is technically a book, not an article, it is only 100 pages.

5. explore Six Degrees of Francis Bacon and Linked Jazz

6. write a blog post or use the Slack channel to make note of your thoughts as you read and complete these exercises; depending on how many people are completing this optional module, this may or may not turn into an active discussion (that’s okay).

7. OPTIONAL: read Using Metadata To Find Paul Revere

8. OPTIONAL: read Jim Clifford, “Nodes, Edges, and the Historian’s Craft: Knowledge Graphs as Research Notes,” Computational History, April 16, 2026.

Technical Activities (Required)

1. download Gephi and complete the Gephi tutorial using the files linked in the tutorial OR if you’re really interested in this, watch the videos and complete the exercises in my Mathematical Humanist workshop

Technical Activities (Optional)

2. try the Gephi tutorial activities again with Ruth and Sebastian Ahnert’s Tudor Networks of Power dataset

3. explore other network analysis visualization programs like Palladio or Kumu.io