  In this second part of a sequence of two papers, we discuss the
implementation of a curvature flow on weighted graphs based on the
Bakry-\'Emery calculus. This flow can be adapted to preserve the Markovian
property and its limits as time goes to infinity turn out to be curvature sharp
weighted graphs. After reviewing some of the main results of the first paper
concerned with the theoretical aspects, we present various examples (random
graphs, paths, cycles, complete graphs, wedge sums and Cartesian products of
complete graphs, hypercubes) and exhibit further properties of this flow. One
particular aspect in our investigations is asymptotic stability and instability
of curvature flow equilibria. The paper ends with a description of the
available Python functions and routines available in the ancillary file. We
hope that the explanations of the Python implementation via examples will help
users to carry out their own curvature flow experiments.
