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NetworkX Graph Analysis

A skill that guides Claude in building, analyzing, and visualizing networks and graphs with Python's NetworkX.

Data & AnalyticsIntermediate★ 33,030⑂ 3,248AI score 9/10Last updated: Aug 9, 2026

What it does

  • Supplies patterns for creating Graph/DiGraph/MultiGraph structures and managing node/edge attributes.
  • Covers core algorithms: shortest paths, centrality (degree, betweenness, closeness, PageRank), clustering, community detection, flows, spanning trees.
  • Includes synthetic network generators (Erdős–Rényi, Barabási–Albert, Watts–Strogatz, lattices, trees) and I/O for GraphML, GML, JSON, edge lists, Pandas, NumPy/SciPy.
  • Handles visualization: layout algorithms, styling by degree/centrality, publication-quality exports, plus Plotly/PyVis interactive options.
  • Flags APIs removed in NetworkX 3.x (nx.info, write_gpickle, random_tree) and explains accelerated backends like nx-cugraph and nx-parallel.

Who it's for

  • Researchers and data analysts working with social, citation, biological, or knowledge graphs.
  • Engineers modeling transportation, logistics, or dependency graphs.
  • NetworkX users hitting errors from outdated tutorial code.

Example uses

  1. Load an edge-list CSV with Pandas, compute betweenness centrality, and export the top nodes to CSV.
  2. Generate a seeded Barabási–Albert scale-free network and compare average clustering with path length.
  3. Detect communities, color nodes by group, and save a spring-layout figure as 300dpi PNG plus vector PDF.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/networkx/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/networkx folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/networkx/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/networkx ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and go to your working directory.
  2. Clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r scientific-agent-skills/skills/networkx ~/.claude/skills/
  5. On Python 3.11+, install dependencies: pip install networkx[default] matplotlib pandas
  6. Restart Claude Code and try a prompt like "Analyze centrality for the network in this edge list."
View source on GitHub ↗License: MIT