Julia code and Jupyter notebooks accompanying the Tensor Eigenvectors and Stochastic Processes (TESP) mini-tutorial at SIAM ALA 2018 in Hong Kong.
See http://www.cs.cornell.edu/~arb/tesp for more information on the minitutorial.
This respository contains notebooks and codes for some of the results presented in the tutorial.
Jupyter notebook for the examples of stochastic processesare in
RWs, non-backtracking RWs, and spacey RWs
There are two Jupyter notebooks for the two examples comparing random walks, non-backtracking random walks, and (super) spacey random walks for the 3-node and 7-node graph examples:
Graph random walk animations
Several of the animations for (non-backtracing) random walks are in the script