  We explore a novel method to generate and characterize complex networks by
means of their embedding on hyperbolic surfaces. Evolution through local
elementary moves allows the exploration of the ensemble of networks which share
common embeddings and consequently share similar hierarchical properties. This
method provides a new perspective to classify network-complexity both on local
and global scale. We demonstrate by means of several examples that there is a
strong relation between the network properties and the embedding surface.
