CP-Explainer: A Visualization Tool for Core-Periphery Analysis

Figure 1: Example of CP-Explainer Visualization

CP-Explainer is a web-based interactive system designed to simplify and enhance the analysis of core-periphery (CP) structures in networks. It provides an integrated analytical environment with intuitive visualizations, detailed algorithm explanations, and no-code interaction, making CP analysis accessible for users of all expertise levels.

🎥 Watch the Demo Video
🚀 Access the Live Demo

---

Features

Key Features

1. Network Visualization with Multiple Data Formats

2. Application of Core-Periphery Algorithms

3. Detailed Panels for Comprehensive Analysis

4. User-Friendly Features

---

Requirements

• Python 3.9.2
• Conda
• React with TypeScript

---

Installation

1. Clone the Repository

   git clone https://github.com/JJEliPark/cp-explainer.git

2. Set up Python Environment

   conda create -n cp-explainer python=3.9.20
   conda activate cp-explainer
   pip install -r requirements.txt

3. Install React TypeScript Dependencies

    cd cp-exp
    npm install
    cd ..

Usage

1. Start the Uvicorn Server

    cd app
    uvicorn main:app --reload

2. Start the React Frontend

    cd cp-exp
    npm start

Feedback and Contributions

We welcome feedback and suggestions for improving CP-Explainer. Feel free to open issues or contribute enhancements through pull requests.

---

License

This project is licensed under the terms of the Creative Commons Attribution License.