Emergence of Soft Communities from Geometric Preferential Attachment

K. Zuev, M. Boguna, G. Bianconi, and D. Krioukov
Nature Scientific Reports
v.5, p.9421, 2015
April 29, 2015


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.

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