What is graph clustering?

Example: You've been building a knowledge graph for two years. You never created a category called 'decision-making under uncertainty.' But when you look at your graph's structure, thirty-seven notes about cognitive biases, probabilistic reasoning, pre-mortems, and Bayesian updating form a tight cluster with dense internal links. The graph is telling you something your filing system never did: this is a domain you've been building expertise in, whether you planned to or not.

This concept is part of Knowledge Graphs in the How to Think curriculum, which builds the epistemic infrastructure for knowledge graphs.