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The nature and nurture of network evolution

Although the origin of the fat-tail characteristic of the degree distribution in complex networks has been extensively researched, the underlying cause of the degree distribution characteristic across the complete range of degrees remains obscure. Here, we propose an evolution model that incorporate...

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Autores principales: Zhou, Bin, Holme, Petter, Gong, Zaiwu, Zhan, Choujun, Huang, Yao, Lu, Xin, Meng, Xiangyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622530/
https://www.ncbi.nlm.nih.gov/pubmed/37919304
http://dx.doi.org/10.1038/s41467-023-42856-5
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author Zhou, Bin
Holme, Petter
Gong, Zaiwu
Zhan, Choujun
Huang, Yao
Lu, Xin
Meng, Xiangyi
author_facet Zhou, Bin
Holme, Petter
Gong, Zaiwu
Zhan, Choujun
Huang, Yao
Lu, Xin
Meng, Xiangyi
author_sort Zhou, Bin
collection PubMed
description Although the origin of the fat-tail characteristic of the degree distribution in complex networks has been extensively researched, the underlying cause of the degree distribution characteristic across the complete range of degrees remains obscure. Here, we propose an evolution model that incorporates only two factors: the node’s weight, reflecting its innate attractiveness (nature), and the node’s degree, reflecting the external influences (nurture). The proposed model provides a good fit for degree distributions and degree ratio distributions of numerous real-world networks and reproduces their evolution processes. Our results indicate that the nurture factor plays a dominant role in the evolution of social networks. In contrast, the nature factor plays a dominant role in the evolution of non-social networks, suggesting that whether nodes are people determines the dominant factor influencing the evolution of real-world networks.
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spelling pubmed-106225302023-11-04 The nature and nurture of network evolution Zhou, Bin Holme, Petter Gong, Zaiwu Zhan, Choujun Huang, Yao Lu, Xin Meng, Xiangyi Nat Commun Article Although the origin of the fat-tail characteristic of the degree distribution in complex networks has been extensively researched, the underlying cause of the degree distribution characteristic across the complete range of degrees remains obscure. Here, we propose an evolution model that incorporates only two factors: the node’s weight, reflecting its innate attractiveness (nature), and the node’s degree, reflecting the external influences (nurture). The proposed model provides a good fit for degree distributions and degree ratio distributions of numerous real-world networks and reproduces their evolution processes. Our results indicate that the nurture factor plays a dominant role in the evolution of social networks. In contrast, the nature factor plays a dominant role in the evolution of non-social networks, suggesting that whether nodes are people determines the dominant factor influencing the evolution of real-world networks. Nature Publishing Group UK 2023-11-03 /pmc/articles/PMC10622530/ /pubmed/37919304 http://dx.doi.org/10.1038/s41467-023-42856-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhou, Bin
Holme, Petter
Gong, Zaiwu
Zhan, Choujun
Huang, Yao
Lu, Xin
Meng, Xiangyi
The nature and nurture of network evolution
title The nature and nurture of network evolution
title_full The nature and nurture of network evolution
title_fullStr The nature and nurture of network evolution
title_full_unstemmed The nature and nurture of network evolution
title_short The nature and nurture of network evolution
title_sort nature and nurture of network evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622530/
https://www.ncbi.nlm.nih.gov/pubmed/37919304
http://dx.doi.org/10.1038/s41467-023-42856-5
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