Stochastic Kronecker Generation in Python, Used in RPI TRUST

This generator is created using Leskovec, et al. Algorithm for Fast Stochastic Kronecker Approximation.

Leskovec, Jure, et al. "Kronecker graphs: An approach to modeling networks." The Journal of Machine Learning Research 11 (2010): 985-1042.

If this implementation is used, please cite the following paper:

Horne, Benjamin D., Sibel Adalι, and Kevin Chan. "Impact of message sorting on access to novel information in networks." Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference on. IEEE, 2016.

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