FEASTPACK is MATLAB software for creating large-scale artificial graphs that match a given degree distribution (i.e., the same distribution of edges) and a given clustering coefficient distribution (i.e., the same distribution of 3-cycles).
It goes along with the following papers:
BTER Model: C. Seshadhri, T. G. Kolda and A. Pinar. Community structure and scale-free collections of Erdős-Rényi graphs, Physical Review E, 2012
BTER Implementation: T. G. Kolda, A. Pinar, T. Plantenga and C. Seshadhri. A Scalable Generative Graph Model with Community Structure, SIAM J. Scientific Computing, 2014
Clustering Coefficient (ccperdeg.m and related MEX files): C. Seshadhri, A. Pinar and T. G. Kolda. Triadic Measures on Graphs: The Power of Wedge Sampling in Proc. 2013 SIAM International Conference on Data Mining (SDM), 2013
Package: Tamara G. Kolda, Ali Pinar, and others, FEASTPACK v1.2, Sandia National Laboratories, SAND2013-4136W, http://www.mathsci.ai/feastpack/, January 2014
Apologies colleagues, for its absence for the past few months.