Random graphs and real networks with weak geometric coupling

Geometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clustering, live in an underlying hidden geometric space. However, it has been shown that finite-size effects can also induce...

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Main Authors: Jasper van der Kolk, M. Ángeles Serrano, Marián Boguñá
Format: Article
Language:English
Published: American Physical Society 2024-03-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.6.013337
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author Jasper van der Kolk
M. Ángeles Serrano
Marián Boguñá
author_facet Jasper van der Kolk
M. Ángeles Serrano
Marián Boguñá
author_sort Jasper van der Kolk
collection DOAJ
description Geometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clustering, live in an underlying hidden geometric space. However, it has been shown that finite-size effects can also induce substantial clustering, even when the coupling to this space is weak or nonexistent. In this paper, we study the weakly geometric regime, where clustering is absent in the thermodynamic limit but present in finite systems. Extending Mercator, a network embedding tool based on the popularity×similarity S^{1}/H^{2} static geometric network model, we show that, even when the coupling to the geometric space is weak, geometric information can be recovered from the connectivity alone for networks of any size. The fact that several real networks are best described in this quasigeometric regime suggests that the transition between nongeometric and geometric networks is not a sharp one.
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spelling doaj.art-41c252155d01473a9262667ba0e8b36c2024-04-12T17:40:57ZengAmerican Physical SocietyPhysical Review Research2643-15642024-03-016101333710.1103/PhysRevResearch.6.013337Random graphs and real networks with weak geometric couplingJasper van der KolkM. Ángeles SerranoMarián BoguñáGeometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clustering, live in an underlying hidden geometric space. However, it has been shown that finite-size effects can also induce substantial clustering, even when the coupling to this space is weak or nonexistent. In this paper, we study the weakly geometric regime, where clustering is absent in the thermodynamic limit but present in finite systems. Extending Mercator, a network embedding tool based on the popularity×similarity S^{1}/H^{2} static geometric network model, we show that, even when the coupling to the geometric space is weak, geometric information can be recovered from the connectivity alone for networks of any size. The fact that several real networks are best described in this quasigeometric regime suggests that the transition between nongeometric and geometric networks is not a sharp one.http://doi.org/10.1103/PhysRevResearch.6.013337
spellingShingle Jasper van der Kolk
M. Ángeles Serrano
Marián Boguñá
Random graphs and real networks with weak geometric coupling
Physical Review Research
title Random graphs and real networks with weak geometric coupling
title_full Random graphs and real networks with weak geometric coupling
title_fullStr Random graphs and real networks with weak geometric coupling
title_full_unstemmed Random graphs and real networks with weak geometric coupling
title_short Random graphs and real networks with weak geometric coupling
title_sort random graphs and real networks with weak geometric coupling
url http://doi.org/10.1103/PhysRevResearch.6.013337
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