Kolk, Jasper Eibertus van derSerrano Moral, Ma. Ángeles (María Ángeles)Boguñá, Marián2023-05-192023-05-192022-10-062399-3650https://hdl.handle.net/2445/198264Clustering - the tendency for neighbors of nodes to be connected - quantifies the coupling of a complex network to its latent metric space. In random geometric graphs, clustering undergoes a continuous phase transition, separating a phase with finite clustering from a regime where clustering vanishes in the thermodynamic limit. We prove this geometric-to-nongeometric phase transition to be topological in nature, with anomalous features such as diverging entropy as well as atypical finite size scaling behavior of clustering. Moreover, a slow decay of clustering in the nongeometric phase implies that some real networks with relatively high levels of clustering may be better described in this regime.application/pdfengcc-by (c) Kolk, Jasper van der et al., 2022https://creativecommons.org/licenses/by/4.0/Física estadísticaPercolació (Física estadística)Statistical physicsPercolation (Statistical physics)info:eu-repo/semantics/article7314792023-05-19info:eu-repo/semantics/openAccess