scientific-network-visualization
CommunityAnalyze and visualize networks interactively.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ネットワーク/グラフデータの解析・コミュニティ検出・インタラクティブ可視化を統合的に行うパイプラインを提供します。研究・データ分析の現場で、複雑なネットワーク構造から洞察を迅速に得ることを可能にします。
Core Features & Use Cases
- Network construction and basic statistics with NetworkX
- Community detection using Louvain and Leiden methods
- Interactive visualization with PyVis for web-friendly networks
- Support for dynamic/time-evolving networks and correlation-based networks
- Use Case: Explore a biological interaction network to identify hub proteins and community modules, then visualize the results interactively.
Quick Start
Input your network data (edgelist or adjacency matrix) and run the workflow to generate a visualization and community structure.
Dependency Matrix
Required Modules
None requiredComponents
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: scientific-network-visualization Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-network-visualization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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