MATLAB-Based Complex Network Implementation

This project presents a MATLAB-implemented complex network program consisting of three core files. The implementation includes the main program and supporting functions for the Barabási-Albert (BA) model, alongside complete source code for the small-world network model. The BA model implements a scale-free network generation algorithm using preferential attachment mechanisms, effectively simulating real-world networks found in various applications. The small-world model bridges the gap between random and regular networks by implementing Watts-Strogatz algorithm with tunable parameters, capturing characteristic features of social networks through controlled randomness and local connectivity. The code structure employs modular design with functions for network generation, degree distribution analysis, and topological property calculations. This implementation provides researchers with computational tools to understand network characteristics and behaviors, serving as a foundation for future complex network studies and algorithm development.