Before revision:  We show that the rank and signature of such matrix entail a natural and comprehensive classification of network models.
After revision:  After reduction, we group generative models in universality classes according to their rank and metric signature, and work out, in a computationally affordable way, their relevant properties (e.g., spectrum).