Mapping My Mind: A Knowledge Graph of This Blog

I recently ran a knowledge graph analysis over the full corpus of this blog — 33 articles, 244 concepts, 252 connections. The tool is Graphify, an open-source knowledge graph builder that combines static analysis with LLM-driven semantic extraction.

The interactive graph below shows all 34 thematic communities identified. You can zoom, click nodes, and explore the connections. Click and drag to move around, scroll to zoom, and click any node to see its connections.

What Does This Show?

The graph confirms something I have long suspected: my thinking is not scattered across disconnected interests. It is a coherent intellectual project — with philosophy, law, ethics, counselling practice, and lived experience all feeding into each other.

The strongest nodes are my two AI ethics pieces, which makes sense: they are the most explicitly synthesising. The EHRC Equality Act Code of Practice summary sits alongside Protected Characteristics, which connects to Gender Theory, which connects to Recognition Justice theory. The grief counselling work — specifically the Kate piece — forms its own distinct community, but links back through identity, loss, and fragmentation.

The Communities

Graphify identified 34 distinct communities including: Philosophy and Social Theory (Arendt, Gramsci, Habermas, Wittgenstein, Rawls, Fraser), Gender Theory and Hegemony (Butler, de Beauvoir, performativity), Protected Characteristics and Services (Equality Act 2010, discrimination types), AI Ethics and Governance (EU AI Act, UNESCO, alignment), and Therapeutic Counselling Case (person-centred practice, grief, empathy).

Technical Notes

The graph was built using Graphify (open-source, MIT license), with vis.js for visualisation. The underlying model was run locally via Ollama. 244 nodes, 252 edges, extracted from 33 blog posts in Markdown format.

If the graph doesn't load above, open the full-page version here.