Watts-Strogatz Small-World Network Simulation

Implementation of Watts-Strogatz small-world network model. The simulation starts with constructing a regular ring lattice with N nodes, where each node connects to K/2 neighbors on each side (K must be even). The algorithm then randomly rewires each edge with probability p, keeping one endpoint fixed while connecting the other to a randomly chosen node. The implementation ensures no self-connections or duplicate edges between nodes.

MATLAB Source Codes for Complex Network Models: BA Scale-Free Networks, Random Graphs, WS Small-World Networks, NW Small-World Networks, Nearest-Neighbor Coupled Networks, Average Path Length, Degree Distribution, and Clustering Coefficient

This archive contains MATLAB source codes for generating and analyzing various complex network models, including BA scale-free networks, random graphs, WS small-world networks, NW small-world networks, and nearest-neighbor coupled networks, with implementations for computing key network metrics such as average path length, degree distribution, and clustering coefficient.