Global hierarchy vs local structure: Spurious self-feedback in scale-free networks

Networks with fat-tailed degree distributions are omnipresent across many scientific disciplines. Such systems are characterized by so-called hubs, specific nodes with high numbers of connections to other nodes. By this property, they are expected to be key to the collective network behavior, e.g.,...

Full description

Bibliographic Details
Main Authors: Claudia Merger, Timo Reinartz, Stefan Wessel, Carsten Honerkamp, Andreas Schuppert, Moritz Helias
Format: Article
Language:English
Published: American Physical Society 2021-09-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.033272
_version_ 1797210912619233280
author Claudia Merger
Timo Reinartz
Stefan Wessel
Carsten Honerkamp
Andreas Schuppert
Moritz Helias
author_facet Claudia Merger
Timo Reinartz
Stefan Wessel
Carsten Honerkamp
Andreas Schuppert
Moritz Helias
author_sort Claudia Merger
collection DOAJ
description Networks with fat-tailed degree distributions are omnipresent across many scientific disciplines. Such systems are characterized by so-called hubs, specific nodes with high numbers of connections to other nodes. By this property, they are expected to be key to the collective network behavior, e.g., in Ising models on such complex topologies. This applies in particular to the transition into a globally ordered network state, which thereby proceeds in a hierarchical fashion, and with a nontrivial local structure. Standard mean-field theory of Ising models on scale-free networks underrates the presence of the hubs, while nevertheless providing remarkably reliable estimates for the onset of global order. Here we expose that a spurious self-feedback effect, inherent to mean-field theory, underlies this apparent paradox. More specifically, we demonstrate that higher order interaction effects precisely cancel the self-feedback on the hubs, and we expose the importance of hubs for the distinct onset of local versus global order in the network. Due to the generic nature of our arguments, we expect the mechanism that we uncover for the archetypal case of Ising networks of the Barabási-Albert type to be also relevant for other systems with a strongly hierarchical underlying network structure.
first_indexed 2024-04-24T10:18:08Z
format Article
id doaj.art-252a095aae0f464a883dc819856ad454
institution Directory Open Access Journal
issn 2643-1564
language English
last_indexed 2024-04-24T10:18:08Z
publishDate 2021-09-01
publisher American Physical Society
record_format Article
series Physical Review Research
spelling doaj.art-252a095aae0f464a883dc819856ad4542024-04-12T17:14:16ZengAmerican Physical SocietyPhysical Review Research2643-15642021-09-013303327210.1103/PhysRevResearch.3.033272Global hierarchy vs local structure: Spurious self-feedback in scale-free networksClaudia MergerTimo ReinartzStefan WesselCarsten HonerkampAndreas SchuppertMoritz HeliasNetworks with fat-tailed degree distributions are omnipresent across many scientific disciplines. Such systems are characterized by so-called hubs, specific nodes with high numbers of connections to other nodes. By this property, they are expected to be key to the collective network behavior, e.g., in Ising models on such complex topologies. This applies in particular to the transition into a globally ordered network state, which thereby proceeds in a hierarchical fashion, and with a nontrivial local structure. Standard mean-field theory of Ising models on scale-free networks underrates the presence of the hubs, while nevertheless providing remarkably reliable estimates for the onset of global order. Here we expose that a spurious self-feedback effect, inherent to mean-field theory, underlies this apparent paradox. More specifically, we demonstrate that higher order interaction effects precisely cancel the self-feedback on the hubs, and we expose the importance of hubs for the distinct onset of local versus global order in the network. Due to the generic nature of our arguments, we expect the mechanism that we uncover for the archetypal case of Ising networks of the Barabási-Albert type to be also relevant for other systems with a strongly hierarchical underlying network structure.http://doi.org/10.1103/PhysRevResearch.3.033272
spellingShingle Claudia Merger
Timo Reinartz
Stefan Wessel
Carsten Honerkamp
Andreas Schuppert
Moritz Helias
Global hierarchy vs local structure: Spurious self-feedback in scale-free networks
Physical Review Research
title Global hierarchy vs local structure: Spurious self-feedback in scale-free networks
title_full Global hierarchy vs local structure: Spurious self-feedback in scale-free networks
title_fullStr Global hierarchy vs local structure: Spurious self-feedback in scale-free networks
title_full_unstemmed Global hierarchy vs local structure: Spurious self-feedback in scale-free networks
title_short Global hierarchy vs local structure: Spurious self-feedback in scale-free networks
title_sort global hierarchy vs local structure spurious self feedback in scale free networks
url http://doi.org/10.1103/PhysRevResearch.3.033272
work_keys_str_mv AT claudiamerger globalhierarchyvslocalstructurespuriousselffeedbackinscalefreenetworks
AT timoreinartz globalhierarchyvslocalstructurespuriousselffeedbackinscalefreenetworks
AT stefanwessel globalhierarchyvslocalstructurespuriousselffeedbackinscalefreenetworks
AT carstenhonerkamp globalhierarchyvslocalstructurespuriousselffeedbackinscalefreenetworks
AT andreasschuppert globalhierarchyvslocalstructurespuriousselffeedbackinscalefreenetworks
AT moritzhelias globalhierarchyvslocalstructurespuriousselffeedbackinscalefreenetworks