Interactive graph

Network Analysis

Created Aug 6, 2026, 6:37 AM · Updated Aug 6, 2026, 6:37 AM

Look at which notes connect everything else - those hubs show where the garden actually lives.

Key Concept

  • Study links and hubs in a graph - who connects whom, what is isolated.
  • Bridges and orphans matter more than node count - the graph shows who carries traffic and what is stranded.
  • Linking by Meaning builds the graph; Maps of Content wins when a hand hub beats metrics.
  • Those hubs tell me where the garden actually lives.
  • Network analysis shows who connects whom in the graph - and which notes sit isolated without links.

Level 1 - Recognize

Network analysis reads a note graph for hubs, bridges, and orphans - who connects whom and what sits isolated.

Level 2 - Explain

Like seeing which kids know everyone at recess and which stand by the fence, bridges and orphans matter more than node count.

Level 3 - Use

Open the graph view, list the top three hubs and three orphans - fix orphans before you add more nodes.

Level 4 - Connect

Traffic carriers and stranded notes tell you where to maintain - the graph shows who carries links and what is forgotten without folder memory.

Level 5 - Create

Build a maintenance view from Linking by Meaning that flags hubs and orphans, then create Maps of Content where human judgment can extend what the metrics reveal.

Examples

  • Glad the playbook diagram showed one motion offense linking twelve other sets - that was the doorway I would simplify first.
  • The chore chart showed one kid linking every task - that is the bottleneck we fixed first.

Note Relationships

RelationshipWikilinkReason
contradictsMaps of Contentwhen the opposite frame fits better
extendsGraph View AnalyticsAnalytics surface hubs and orphans from the link graph
extendsLinking by MeaningLinks create the graph you analyze for hubs
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Random Note

One garden note picked at random - shuffle for a new pairing with this note.

AI prompt

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