🚀 A powerful suite of social media analysis tools to help you understand your X(Twitter) network interaction data.

• Data Visualization: Create interactive data visualization charts using D3.js
• Privacy Protection: All data processing is done locally to protect your privacy
• Real-time Analysis: Quickly analyze data and generate real-time results
• Export Functionality: Export your interaction circles as high-quality PNG images

• Analyze Twitter interaction data (replies and likes)
• Generate personalized interaction circle visualizations
• Discover your core social network on Twitter
• Identify users you interact with most frequently
• Real-time progress tracking during analysis

1. Install the Twitter Web API browser extension
2. Navigate to the Tool: Go to the Twitter Interaction Circle page
3. Enter Username: Input a Twitter username (without the @ symbol)
4. Start Analysis: Click "Start Analysis" to begin processing
5. View Results: Watch as the tool analyzes replies and likes data
6. Export: Download your interaction circle as a PNG image

The tool analyzes:

• Reply Data: Up to 200 recent tweets with replies
• Like Data: Up to 400 recent likes
• User Information: Profile data for visualization

• Local Processing: All data analysis is performed locally in your browser
• No Data Storage: User data is not stored on external servers
• Privacy First: Your Twitter data remains private and secure

• ✅ Twitter Interaction Circle Generator
• 🚧 Tweet Sentiment Analysis
• 🚧 Topic Trend Tracking
• 🚧 User Influence Assessment
• 🚧 Network Growth Analytics

We welcome contributions! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

If you have any questions or run into issues:

1. Check the Issues page
2. Create a new issue if your problem isn't already reported
3. Provide detailed information about the issue

Made with ❤️ for the Twitter community