These resources are provided here for personal and academic use only, they are not for commercial use. If you do use any material on this page, please credit the original source.
Code library used in article A28, Taxonomies of networks from community structure. You will also need the Matlab functions squareform.m and princomp.m, which are part of the Statistics Toolbox of Matlab. The C++ program for running the community detection is a modified version of the code originally written by Renaud Lambiotte, and it is posted here with his kind permission.A figure of four different stages of community emergence in our model of social networks in article A14.
A figure of a small (snowball) sample of a cell phone call network analyzed in articles A13 and A12.
A figure used in article A13 (Fig. 2, vectorized version).
Stock market data for 116 NYSE stocks analyzed in article A1 and others. These data were originally in the public domain. The data are in MATLAB's mat-format, so please change the extension from txt to mat before opening the file.
Colorbrewer is a useful website for selecting colors for your plots.
The Elements of Statistical Learning is available here.
Networks, Crowds, and Markets is available here (pre-publication draft).
Molecular Biology of the Cell (4th Edition) is available here as a searchable version.