Aste, TomasoGramatica, RuggeroDi Matteo, Tiziana2015-12-101539-3755http://hdl.handle.net/1885/67080We demonstrate that graphs embedded on surfaces are a powerful and practical tool to generate, to characterize, and to simulate networks with a broad range of properties. Any network can be embedded on a surface with sufficiently high genus and thereforeKeywords: Average degree; Clustering coefficient; Complex networks; Degree distributions; Embedded graphs; Embedded network; Global properties; Local property; Scaling properties; Subgraphs; Topological embedding; Glass transition; Graphic methods; Statistical mech201210.1103/PhysRevE.86.0361092016-02-24