Exploring complex networks via topological embedding on surfaces
Date
2012
Authors
Aste, Tomaso
Gramatica, Ruggero
Di Matteo, Tiziana
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American Physical Society
Abstract
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
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Keywords: 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 mech
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Source
Physical Review E-Statistical, Nonlinear and Soft Matter Physics
Type
Journal article
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Restricted until
2037-12-31
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