Network Topology Optimization

Project Overview

This project explores graph analytics using NetworkX to optimize network topology. We'll learn how to represent networks as graphs and apply various algorithms to analyze and optimize network structure.

Key Learning Objectives

• Graph theory fundamentals
• Network representation in NetworkX
• Graph algorithms for optimization
• Centrality measures
• Network visualization techniques

Technologies Used

• Python
• NetworkX
• matplotlib for visualization
• scipy for advanced computations
• pandas for data management

Additional Resources

For detailed implementation guide, code examples, and step-by-step instructions, please visit the GitHub Project Repository.