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networkx-graph-analysis

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Analyze complex networks and graph structures.

Data & Analytics#data visualization#python#algorithms#graph theory#network analysis#networkx
Authorjaechang-hits
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive toolkit for creating, manipulating, and analyzing complex networks and graphs, enabling you to understand relationships and structures within your data.

Core Features & Use Cases

  • Graph Creation: Build various graph types (undirected, directed, multi-edge) with node and edge attributes.
  • Analysis: Compute centrality measures, find shortest paths, detect communities, and analyze graph properties.
  • I/O & Visualization: Read/write graphs in multiple formats and visualize network structures.
  • Use Case: Analyze a social network to identify influential users, detect communities, and visualize the network topology.

Quick Start

Use the networkx-graph-analysis skill to create a graph from an edge list and compute its betweenness centrality.

Dependency Matrix

Required Modules

None required

Components

references

💻 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: networkx-graph-analysis
Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#networkx-graph-analysis

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