Generating random networks with given degree-degree correlations and degree-dependent clustering
Generating random networks with given degree-degree correlations and degree-dependent clustering
Random networks are widely used to model complex networks and research their properties. In order to get a good approximation of complex networks encountered in various disciplines of science, the ability to tune various statistical properties of random networks is very important. In this Brief Report we present an algorithm …