Скачать или смотреть 🌐 Introduction to Gephi - Network Visualization Made Easy

Learn how to transform raw connection data into stunning visual insights using Gephi! In this tutorial, I demonstrate how to analyze a social network of 100 people and their relationships, revealing hidden communities and influential connections.
🎯 What You'll Learn:
✅ Importing network data into Gephi (nodes & edges)
✅ Applying force-directed layouts (ForceAtlas2)
✅ Understanding how graphs self-organize
✅ Detecting communities automatically
✅ Identifying influential people in networks
✅ Analyzing social network structure
⏱️ TIMESTAMPS:
0:00 - Introduction to Gephi
0:30 - Importing your data
1:15 - Force-directed layout in action
2:00 - Understanding stabilization
3:10 - Community detection
4:20 - Network statistics & analysis
5:30 - Key insights & applications
🔧 Tools Used:

Gephi (Free & Open Source)
Sample dataset: 100 nodes, ~400 edges
Algorithms: ForceAtlas2, Modularity, Centrality Measures

📊 Applications:
→ Social media analysis (Facebook, Twitter, LinkedIn)
→ Organizational network analysis
→ Research collaboration networks
→ Biological networks
→ Citation networks
→ Crime network analysis
→ Recommendation systems
💾 Download Resources:
🔗 Gephi Official Website: https://gephi.org/

🎓 Perfect for:
Students | Researchers | Data Scientists | Network Analysts | Social Scientists | Anyone interested in graph theory and network visualization!



💬 Questions? Drop them in the comments below! I read and respond to every comment.
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📱 Connect With Me:
Instagram:    / @pi_nomenal1729  
Website: anupamnigam.com



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