The slipnet node previously called "bondFacet" was misleading since
"facet" is used throughout the codebase as a property name on Bond,
Group, and Rule objects. Renamed to "bond_edge_type" to better reflect
its role as a descriptor type category. Also removed precomputed
minPathToLetter data from slipnet.json.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Key finding: Eccentricity is the only metric significantly correlated
with conceptual depth (r=-0.380, p=0.029). Local centrality measures
(degree, betweenness, closeness) show no significant correlation.
New files:
- compute_centrality.py: Computes 8 graph metrics
- centrality_comparison.png: Visual comparison of all metrics
- Updated paper with full analysis
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Analysis shows no significant correlation between conceptual depth
and hop distance to letter nodes (r=0.281, p=0.113). Includes
Python scripts, visualizations, and LaTeX paper.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
