SAVI(Simulated Annealing algorithm for minimizing Validity Index), developed by Tiejun Li(Peking University) is based on the optimal reduction of the random walker dynamics on the complex network (see the papers on complex networks below) is integrated here. To use it, unzip the downloaded files and run the main.m file in matlab environment. The matlab codes main.m is the main function. The other .m files are functions called by main.m. Some network data files are also included. The output is the .clu file which can be visualized with the software Pajek.

NetworkCodes
............\Adhoc_net.mat
............\Comput_Phat.m
............\Delete_class.m
............\Distance_NodeClass.m
............\dolphins.txt
............\football.txt
............\GaussianMixNet400.mat
............\inputmat.txt
............\main.m
............\Objective_J.m
............\Split_class.m
............\Validity.m

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