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Title: | Emergence of soft communities from geometric preferential attachment |
Author: | Zuev, Konstantin Boguñá, Marián Bianconi, Ginestra Krioukov, Dmitri |
Keywords: | Xarxes (Matemàtica) Teories no lineals Estadística Matemàtica aplicada Nets (Mathematics) Nonlinear theories Statistics Applied mathematics |
Issue Date: | 29-Apr-2015 |
Publisher: | Nature Publishing Group |
Abstract: | All real networks are different, but many have some structural properties in common. There seems to be no consensus on what the most common properties are, but scale-free degree distributions, strong clustering, and community structure are frequently mentioned without question. Surprisingly, there exists no simple generative mechanism explaining all the three properties at once in growing networks. Here we show how latent network geometry coupled with preferential attachment of nodes to this geometry fills this gap. We call this mechanism geometric preferential attachment (GPA), and validate it against the Internet. GPA gives rise to soft communities that provide a different perspective on the community structure in networks. The connections between GPA and cosmological models, including inflation, are also discussed. |
Note: | Reproducció del document publicat a: https://doi.org/10.1038/srep09421 |
It is part of: | Scientific Reports, 2015, vol. 5, p. 9421 |
URI: | http://hdl.handle.net/2445/126133 |
Related resource: | https://doi.org/10.1038/srep09421 |
ISSN: | 2045-2322 |
Appears in Collections: | Articles publicats en revistes (Física de la Matèria Condensada) |
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