Tuning clustering in random networks with arbitrary degree distributions
Tuning clustering in random networks with arbitrary degree distributions
We present a generator of random networks where both the degree-dependent clustering coefficient and the degree distribution are tunable. Following the same philosophy as in the configuration model, the degree distribution and the clustering coefficient for each class of nodes of degree $k$ are fixed ad hoc and a priori. …