Fundamental Network Models for Complex Networks

Implementation of fundamental complex network models using MATLAB, including specific models such as BA (Barabási–Albert) network model, NN (Nearest Neighbor) network model, NW (Newman–Watts) network model, WS (Watts–Strogatz) small-world network model, and random graphs. The implementation allows calculation of key network metrics including average path length, clustering coefficient, and degree distribution.