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Exploring complex networks via topological embedding on surfaces

Aste, Tomaso; Gramatica, Ruggero; Di Matteo, Tiziana


We 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 therefore

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Physical Review E-Statistical, Nonlinear and Soft Matter Physics
DOI: 10.1103/PhysRevE.86.036109


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