Clustering in Small-World Networks

Clustering can be used to quantify network robustness with respect to perturbation, and a high degree of clustering is one of the features captured by the small-world networks of Watts and Strogatz. In epidemiology, a robust network allows a disease to spread similarly even if the network is perturbed.

Compute the global clustering coefficient of a random graph:
Compute the global clustering coefficients of a set of random graphs:
Create the heat map of selected graphs with respect to the coefficient values: