Find your three densest knowledge clusters by internal…
Identify your three densest knowledge clusters by examining which groups of notes link heavily to each other but sparsely to the rest of the graph, then label each cluster based on observed structure rather than imposed categories.
When This Fires
- During quarterly knowledge system audits when assessing where your understanding is deepest
- When deciding what to learn next — sparse areas between dense clusters are high-leverage targets
- After a period of intensive note-making when you want to see what structure emerged
- When someone asks "what are you an expert in?" and you want an evidence-based answer rather than a narrative one
Common Failure Mode
Labeling clusters before finding them: "I know about psychology, engineering, and philosophy, so those must be my clusters." This imposes structure rather than discovering it. Your actual clusters might be "feedback systems across domains," "decision-making under uncertainty," and "tools for thought" — cutting across your expected categories in ways that reveal your real intellectual centers of gravity.
The Protocol
(1) Examine your graph for groups with high internal link density and low external link density — three or more notes that reference each other frequently but connect sparsely to the rest. (2) Identify the three densest such groups. (3) For each, read the member notes and ask: "What unifying theme explains why these notes connect so heavily?" (4) Label the cluster based on what you observe, not what you expected. (5) Compare cluster labels to your self-narrative about expertise — divergences are diagnostically valuable (see When your graph's clusters contradict your self-narrative…).