Efficiently generating geometric inhomogeneous and hyperbolic random graphs
Efficiently generating geometric inhomogeneous and hyperbolic random graphs
Abstract Hyperbolic random graphs (HRGs) and geometric inhomogeneous random graphs (GIRGs) are two similar generative network models that were designed to resemble complex real-world networks. In particular, they have a power-law degree distribution with controllable exponent $\beta$ and high clustering that can be controlled via the temperature $T$ . We …