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DataPython

Network Centrality

by asgard-ai-platform

Network Centrality is a Data skill for Claude Code, published by asgard-ai-platform in skills.

228 stars28 forkson asgard-ai-platform/skillsAdded 2026/09/03Repository updated 2026/06/06
ai-agentanthropicclaudeclaude-agent-skillsclaude-codecoding-agentknowledge-basemcpmethodologyopen-sourceprompt-engineeringskillstaiwan
Install in seconds
Install Network Centrality
Copy Network Centrality into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/asgard-ai-platform/skills/tree/main/algo-net-centrality ~/.claude/skills/algo-net-centrality

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asgard-ai-platform/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
algo-net-centrality/SKILL.md in asgard-ai-platform/skills
Installs to
~/.claude/skills/algo-net-centrality
Collection
One of 25 skills cataloged from this repository
Category
Data β€” 710 skills

What Network Centrality does

Network Centrality calculates degree, betweenness, closeness, and eigenvector scores for nodes in a graph. Use it to identify key influencers, bridge nodes, and critical infrastructure in network data.

Network Centrality is cataloged under Data on DirSkills. Network Centrality comes from a repository tagged ai-agent, anthropic, claude, claude-agent-skills and claude-code.

Documentation

README

Network Centrality Metrics

Overview

Centrality measures quantify node importance in a network. Four classical metrics: degree (connections), betweenness (bridge role), closeness (proximity), eigenvector (connection quality). Each captures a different aspect of importance. Complexity ranges from O(V+E) for degree to O(VΓ—E) for betweenness.

When to Use

Trigger conditions:

  • Identifying key influencers or critical nodes in social/organizational networks
  • Analyzing network vulnerabilities (which node failure causes most damage)
  • Comparing node importance across different dimensions

When NOT to use:

  • For group/community detection (use community detection algorithms)
  • For information spread modeling (use epidemic models)

Algorithm

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Network Centrality

  • What else does asgard-ai-platform publish alongside Network Centrality?

    Network Centrality is one of 25 skills that DirSkills catalogs from asgard-ai-platform/skills, the repository it ships in. Its siblings there include ARIMA Time Series Model, Ad Bidding Strategies and Ad Budget Allocation. Each one is a separate skill with its own page in this directory, installs the same way Network Centrality does, and is maintained by asgard-ai-platform in that same repository. The rest of the collection is listed on the asgard-ai-platform/skills page.

  • How does Network Centrality compare to other Data skills?

    Network Centrality ranks #648 by stars among the 710 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Network Centrality against them. Open each page to compare what they document and how they install.

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