42-link-graph
CommunityVisualize and optimize internal link graphs.
Authorchapter42
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Visualize and analyze the internal linking structure of a website by constructing a directed graph from Screaming Frog inlinks data, enabling the detection of orphan pages, hub pages, authorities, and bridges, and auditing anchor text quality and cross-link revenue opportunities.
Core Features & Use Cases
- Build a NetworkX-directed graph from inlinks data (source → destination) to compute PageRank, in-degree, out-degree, betweenness, and to classify pages as orphan, hub, authority, bridge, or dead end.
- Audit anchor text diversity and relevance to the target URLs to improve internal linking strategies.
- Revenue-vs-links analysis by joining internal link counts with GA transaction data to identify high-value, underlinked pages and optimize link allocation.
- Export graphs for visualization in Gephi (GEXF) and shareable reports.
- Use Case: Optimize homepage and category pages to improve crawl depth and revenue-per-click through smarter internal linking.
Quick Start
Run the link_graph.py script on your SF inlinks CSV to generate an actionable JSON report.
Dependency Matrix
Required Modules
networkx
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: 42-link-graph Download link: https://github.com/chapter42/SEO-Skills-42/archive/main.zip#42-link-graph Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.