This code provides an example of how to implement the Barabasi-Albert model using MATLAB and visualize the resulting graph.
This code demonstrates how to calculate and visualize various centrality metrics on two benchmark networks, the Karate club and LFR benchmarks. The implemented centrality metrics include Degree, Closeness, Betweenness, and Clustering Coefficient, Eigenvector and Pagerank.The code is implemented using the MATLAB and provides a helpful example for those interested in network analysis and visualization in MATLAB.
These code provide two examples of how to implement the Erdős Rényi models using MATLAB and visualize the resulting graph.
This code provides an example of how to implement the Klemm_Eguilez model using MATLAB and visualize the resulting graph.
This code provides an example of how to implement the Watts_Strogatz model using MATLAB and visualize the resulting graph.