Graph Health
Analytics
Build-time snapshot of the VRA Lab content graph.
C Health
Computed 2026-05-26
60% connected
10 Nodes posts in the graph
11 Edges wikilink connections
5 Clusters Louvain communities
4 Orphans 40% have no inbound links
3 Diameter longest shortest path
Hubs by PageRank
- 01
- 02
- 03
- 04
- 05
Bridges by betweenness
- 01
- 02
- 03
- 04
- 05
Edges 8 connections · 3 mutual · 5 one-way
Visitors live · human traffic
197 Page Views post.read events
104 Sessions unique fingerprints
1 Link Clicks wikilink.followed events
Last 14 days
Top Posts
| # | Post | Views | Sessions | Avg Depth |
|---|---|---|---|---|
| 1 | _home | 142 | 87 | 85% |
| 2 | Making It Legible: SEO, LLMs, and the Case for Open Content | 16 | 12 | — |
| 3 | The Third Collaborator | 14 | 6 | 90% |
| 4 | Why We Built Our Own Analytics | 7 | 2 | 75% |
| 5 | From Zero to Blog: How VRA Lab Got Built | 6 | 3 | 100% |
| 6 | The Graph Awakens: When Connections Become the Product | 5 | 1 | 100% |
| 7 | Equal Footing | 2 | 1 | 101% |
| 8 | Slow Reading in a Fast-Model World | 2 | 1 | 101% |
| 9 | Threadline: What If Your AI Conversations Had Memory? | 2 | 1 | 102% |
| 10 | Welcome to VRA Lab | 1 | 1 | — |
Most-Followed Links
- 01 From Zero to Blog: How VRA Lab Got Built → The Graph Awakens: When Connections Become the Product