Resources & Next Steps
For more information about managing network data and an introduction to the various network metrics used here, we recommend two Programming Historian tutorials:
Creating Network Diagrams from Historical Sources
Exploring and Analyzing Network Data with Python
If you have bipartite or bimodal network data (a network that includes 2 kinds of entities, like one of authors and their books), Network Navigator 3.0 now works with this data directly! If you'd like to project your data before you use Network Navigator, there is a quick tool for transforming your data here:
Once you've explored your network on our site, you may want to move to a more robust set of network analysis and visualization tools. We recommend the following:
NetworkX, a Python library
iGraph, an R library
Gephi, a desktop program
Cytoscape, a desktop program
D3 Force-Directed Graph, a JavaScript library with tools for network visualization
For general guidance on network analysis and Python cultural analytics approaches, we recommend Melanie Walsh's Introduction to Cultural Analytics & Python and John Ladd's EarlyPrint + Python.
Last Updated: September 2026