agent-pagerank-analyzer
CommunityFast PageRank insights for large graphs
Data & Analytics#large-scale#influence#network-analysis#pagerank#graph-analysis#sublinear-algorithms
AuthorEthansuttor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Compute PageRank scores and reveal influential nodes in large-scale graphs to enable faster network optimization and decision making.
Core Features & Use Cases
- PageRank computation for big graphs using sublinear-time techniques.
- Influence analysis to identify key actors and propagation patterns.
- Network optimization to improve topology, resilience, and routing.
- Use Case: Social networks, web graphs, and distributed systems requiring scalable ranking and influence insights.
Quick Start
Tell the agent to analyze a given network graph and return the top 10 PageRank-ranked nodes with their scores.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: agent-pagerank-analyzer Download link: https://github.com/Ethansuttor/QUANTIFIED/archive/main.zip#agent-pagerank-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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