Sublinear domination and core–periphery networks

In this paper we devise a generative random network model with core–periphery properties whose core nodes act as sublinear dominators, that is, if the network has n nodes, the core has size o(n) and dominates the entire network. We show that instances generated by this model exhibit power law degree...

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Detalles Bibliográficos
Autor principal: Papachristou, Marios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324891/
https://www.ncbi.nlm.nih.gov/pubmed/34330937
http://dx.doi.org/10.1038/s41598-021-94105-8
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author Papachristou, Marios
author_facet Papachristou, Marios
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description In this paper we devise a generative random network model with core–periphery properties whose core nodes act as sublinear dominators, that is, if the network has n nodes, the core has size o(n) and dominates the entire network. We show that instances generated by this model exhibit power law degree distributions, and incorporates small-world phenomena. We also fit our model in a variety of real-world networks.
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spelling pubmed-83248912021-08-03 Sublinear domination and core–periphery networks Papachristou, Marios Sci Rep Article In this paper we devise a generative random network model with core–periphery properties whose core nodes act as sublinear dominators, that is, if the network has n nodes, the core has size o(n) and dominates the entire network. We show that instances generated by this model exhibit power law degree distributions, and incorporates small-world phenomena. We also fit our model in a variety of real-world networks. Nature Publishing Group UK 2021-07-30 /pmc/articles/PMC8324891/ /pubmed/34330937 http://dx.doi.org/10.1038/s41598-021-94105-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Papachristou, Marios
Sublinear domination and core–periphery networks
title Sublinear domination and core–periphery networks
title_full Sublinear domination and core–periphery networks
title_fullStr Sublinear domination and core–periphery networks
title_full_unstemmed Sublinear domination and core–periphery networks
title_short Sublinear domination and core–periphery networks
title_sort sublinear domination and core–periphery networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324891/
https://www.ncbi.nlm.nih.gov/pubmed/34330937
http://dx.doi.org/10.1038/s41598-021-94105-8
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