Can I import graph data from CSV or Excel files?

Absolutely. This skill covers reading and writing graphs using edge lists, GraphML, JSON, and direct integration with Pandas DataFrames.

Does this skill support community detection in networks?

Yes, it provides access to various community detection algorithms, including greedy modularity and other partitioning techniques found in the NetworkX library.

What types of graphs can I create with the NetworkX skill?

You can create four primary types: Graph (undirected), DiGraph (directed), MultiGraph (undirected with multiple edges), and MultiDiGraph (directed with multiple edges).

How does the skill handle large-scale network visualizations?

It provides guidance on using efficient layout algorithms like spring or spectral layouts and suggests exporting to vector formats or interactive libraries for high-density networks.

NetworkX Graph Analysis

Name: NetworkX Graph Analysis
Author: pur3v4d3r

bypur3v4d3r

•

데이터 과학 및 ML

Analyzes and visualizes complex networks and graph data structures using the comprehensive NetworkX Python toolkit.

This skill empowers Claude to perform advanced network analysis and graph manipulation within Python environments. It provides specialized guidance for building various graph types, executing complex algorithms like PageRank or community detection, and generating synthetic network models. Whether you are working with social networks, biological systems, or transportation logistics, this skill streamlines the process of extracting structural insights and creating publication-quality visualizations from relationship-based data.

주요 기능

01Synthetic network generation including Small-World and Scale-Free models

021 GitHub stars

03Extensive algorithm library for centrality, shortest paths, and community detection

04Advanced visualization support with customizable layouts and Matplotlib integration

05Creation and manipulation of Directed, Undirected, and MultiGraph structures

06Seamless data integration with Pandas, NumPy, and SciPy stacks

사용 사례

01Mapping biological protein-protein interactions or citation networks for research

02Analyzing social media connections to identify influencers and community clusters

03Modeling and optimizing transportation routes or logistics supply chains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pur3v4d3r/pur3-pkb-codebase networkx

For use in Claude.ai and ChatGPT

Download Skill