Spectral density of random graphs: convergence properties and application in model fitting
Spectral density of random graphs: convergence properties and application in model fitting
Abstract Random graph models are used to describe the complex structure of real-world networks in diverse fields of knowledge. Studying their behaviour and fitting properties are still critical challenges that, in general, require model-specific techniques. An important line of research is to develop generic methods able to fit and select …