This document discusses two traditions of network modeling: Newtonian and Einsteinian approaches. It introduces hyperbolic networks as a way to combine nontrivial geometry and trivial dynamics. Hyperbolic networks can explain properties like densification, small-world structure, and scale-free degree distributions seen in real networks. Prior models used trivial geometries that only captured individual properties. The document suggests hyperbolic geometry as a unified framework and provides examples of how it has been applied to image recognition, internet routing, and disease diffusion by focusing on network geodesics.