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Two universal physical principles shape the power-law statistics of real-world networks
The study of complex networks has pursued an understanding of macroscopic behaviour by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental physical principles that are at the basis of complex network generation. These principles together predict the generic...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512011/ https://www.ncbi.nlm.nih.gov/pubmed/26202858 http://dx.doi.org/10.1038/srep12353 |
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author | Lorimer, Tom Gomez, Florian Stoop, Ruedi |
author_facet | Lorimer, Tom Gomez, Florian Stoop, Ruedi |
author_sort | Lorimer, Tom |
collection | PubMed |
description | The study of complex networks has pursued an understanding of macroscopic behaviour by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental physical principles that are at the basis of complex network generation. These principles together predict the generic emergence of deviations from ideal power laws, which were previously discussed away by reference to the thermodynamic limit. Our approach proposes a paradigm shift in the physics of complex networks, toward the use of power-law deviations to infer meso-scale structure from macroscopic observations. |
format | Online Article Text |
id | pubmed-4512011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45120112015-07-28 Two universal physical principles shape the power-law statistics of real-world networks Lorimer, Tom Gomez, Florian Stoop, Ruedi Sci Rep Article The study of complex networks has pursued an understanding of macroscopic behaviour by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental physical principles that are at the basis of complex network generation. These principles together predict the generic emergence of deviations from ideal power laws, which were previously discussed away by reference to the thermodynamic limit. Our approach proposes a paradigm shift in the physics of complex networks, toward the use of power-law deviations to infer meso-scale structure from macroscopic observations. Nature Publishing Group 2015-07-23 /pmc/articles/PMC4512011/ /pubmed/26202858 http://dx.doi.org/10.1038/srep12353 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lorimer, Tom Gomez, Florian Stoop, Ruedi Two universal physical principles shape the power-law statistics of real-world networks |
title | Two universal physical principles shape the power-law statistics of real-world networks |
title_full | Two universal physical principles shape the power-law statistics of real-world networks |
title_fullStr | Two universal physical principles shape the power-law statistics of real-world networks |
title_full_unstemmed | Two universal physical principles shape the power-law statistics of real-world networks |
title_short | Two universal physical principles shape the power-law statistics of real-world networks |
title_sort | two universal physical principles shape the power-law statistics of real-world networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512011/ https://www.ncbi.nlm.nih.gov/pubmed/26202858 http://dx.doi.org/10.1038/srep12353 |
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