Interactive Gephi-style academic concept maps for 12 disciplines + interdisciplinary bridges.
🌐 Live site: francoispapin.github.io/mlkn-lab
MLKN.lab is an open knowledge-visualization project exploring the conceptual architecture of academic disciplines through interactive force-directed network graphs, inspired by the Gephi software methodology.
Each map represents:
- Concepts as nodes (size = centrality)
- Connections as weighted edges (weight = conceptual proximity)
- Domains as color-coded clusters with spatial grouping
| # | Discipline | Concepts | Links |
|---|---|---|---|
| 1 | Philosophy | 98 | 140 |
| 2 | Cognitive Science | 83 | 130 |
| 3 | Education Science | 86 | 140 |
| 4 | Human Rights | 85 | 145 |
| 5 | Environmental Science | 75 | 100 |
| 6 | Computer Science | 57 | 85 |
| 7 | Neuroscience | 65 | 85 |
| 8 | Cognitive Psychology | 64 | 80 |
| 9 | Language Science | 64 | 80 |
| 10 | Anthropology | 64 | 85 |
| 11 | Systems Science | 64 | 85 |
| 12 | Interdisciplinary | 100+ | 200+ |
- Disciplines — 11 academic fields as distinct clusters
- Epistemic Roles — Foundational / Theoretical / Methodological / Empirical / Applied / Normative
- Levels of Analysis — Molecular-Neural / Individual / Social-Cultural / System-Global
- 🖱 Drag nodes, scroll to zoom
- 🔍 Search concepts in real time
- 🎨 Click domains in legend to isolate clusters
- 📌 Click any node to open detail panel
- 📱 Responsive — works on all screen sizes and operating systems
- ♿ Accessible — keyboard navigation, ARIA labels, focus indicators
- 🔒 Secure — CSP meta headers, SRI for CDN scripts, no eval()
- D3.js v7 — force-directed graph simulation
- Vanilla JS — no build step required
- CSS Grid/Flexbox — responsive layout
- GitHub Pages — static hosting
MIT License — © François Papin, April 2026
François Papin
- LinkedIn: linkedin.com/in/francoispapin
- GitHub: francoispapin.github.io