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
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Resource Overview
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.
Detailed Documentation
The archive includes the following MATLAB source codes:
- Implementation of BA scale-free network generation using preferential attachment algorithm
- Random graph generation with configurable connection probabilities
- WS small-world network model with rewiring probability parameter
- NW small-world network construction via edge addition method
- Nearest-neighbor coupled network with periodic boundary conditions
- Code for calculating average path length using shortest-path algorithms
- Degree distribution computation with histogram analysis
- Clustering coefficient calculation for network transitivity measurement
These source codes provide practical tools for network analysis and simulation studies, featuring modular implementations that allow parameter customization and performance optimization.
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