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network-centrality

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Identify critical network nodes at a glance.

Data & Analytics#graph#centrality#betweenness#network-analysis#eigenvector#pagerank
AuthorSPIRAL-EDWIN
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill analyzes graph data to identify key nodes by computing multiple centrality measures, enabling quick assessment of influence, bottlenecks, and resilience.

Core Features & Use Cases

  • Multi-metric centrality analysis: degree, betweenness, closeness, eigenvector centrality, and PageRank.
  • Comprehensive ranking: produces ranked lists of nodes by each metric and a combined priority score for tasks like influencer outreach, infrastructure protection, or epidemiological targeting.
  • Visualization & reporting: supports visual representations and exportable results for decision-making across networks (social, infrastructure, organizational).

Quick Start

Run the centrality analysis on your network data with a single command to obtain per-node scores and top influencers.

Dependency Matrix

Required Modules

None required

Components

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: network-centrality
Download link: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/archive/main.zip#network-centrality

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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