Knowledge Graph Gap Analysis
Find the original insight in the gaps.
A method for finding what is missing in a knowledge base by visualising it as a graph and identifying structural holes, dense clusters of related ideas that are not connected to each other. Bridging a structural hole tends to produce original, non-generic insight, because the territory between two developed clusters is by definition under-explored.
The technique
Ingest a body of knowledge, cluster it, identify where two dense clusters sit close but unconnected, then deliberately bridge the gap. For a content programme this is a way to manufacture non-commodity ideas systematically rather than waiting for inspiration, the gaps are where the original thinking lives.
By the numbers
| Metric | Figure | Source |
|---|---|---|
| Facts in the Google Knowledge Graph | 1.6 trillion | Wikipedia |
| Entities in the Google Knowledge Graph | 54 billion | Wikipedia |
| Rich result types Google supports via structured data | 35+ | Google for Developers |
Figures as reported by the cited sources.
The field notes
Frameworks, builds and what is changing in AI search.
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