MATLAB Code Implementation for Complex Network Generation

This MATLAB-based complex network generation program serves as an essential resource for beginners by providing detailed explanations of network generation mechanisms alongside practical code implementation. The program demonstrates algorithms for creating networks that simulate real-world systems like social networks or biological interactions, incorporating key functions such as random graph generation (Erdős–Rényi model), scale-free network construction (Barabási–Albert algorithm), and small-world network formation (Watts-Strogatz model). Through commented MATLAB scripts, users learn to control parameters like node degree distribution, clustering coefficients, and connectivity probability. The code includes modular functions for edge creation, adjacency matrix generation, and network visualization using MATLAB's graph plotting tools. Beginners gain hands-on experience through examples illustrating step-by-step network building processes and exercises that reinforce concepts like preferential attachment and rewiring techniques. This comprehensive toolkit enables users to develop sophisticated models by modifying topology parameters and analyzing network properties through built-in metric calculations.