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Uncovering the role of elementary processes in network evolution

The growth and evolution of networks has elicited considerable interest from the scientific community and a number of mechanistic models have been proposed to explain their observed degree distributions. Various microscopic processes have been incorporated in these models, among them, node and edge...

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Detalles Bibliográficos
Autores principales: Ghoshal, Gourab, Chi, Liping, Barabási, Albert-László
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794373/
https://www.ncbi.nlm.nih.gov/pubmed/24108146
http://dx.doi.org/10.1038/srep02920
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author Ghoshal, Gourab
Chi, Liping
Barabási, Albert-László
author_facet Ghoshal, Gourab
Chi, Liping
Barabási, Albert-László
author_sort Ghoshal, Gourab
collection PubMed
description The growth and evolution of networks has elicited considerable interest from the scientific community and a number of mechanistic models have been proposed to explain their observed degree distributions. Various microscopic processes have been incorporated in these models, among them, node and edge addition, vertex fitness and the deletion of nodes and edges. The existing models, however, focus on specific combinations of these processes and parameterize them in a way that makes it difficult to elucidate the role of the individual elementary mechanisms. We therefore formulated and solved a model that incorporates the minimal processes governing network evolution. Some contribute to growth such as the formation of connections between existing pair of vertices, while others capture deletion; the removal of a node with its corresponding edges, or the removal of an edge between a pair of vertices. We distinguish between these elementary mechanisms, identifying their specific role on network evolution.
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spelling pubmed-37943732013-10-18 Uncovering the role of elementary processes in network evolution Ghoshal, Gourab Chi, Liping Barabási, Albert-László Sci Rep Article The growth and evolution of networks has elicited considerable interest from the scientific community and a number of mechanistic models have been proposed to explain their observed degree distributions. Various microscopic processes have been incorporated in these models, among them, node and edge addition, vertex fitness and the deletion of nodes and edges. The existing models, however, focus on specific combinations of these processes and parameterize them in a way that makes it difficult to elucidate the role of the individual elementary mechanisms. We therefore formulated and solved a model that incorporates the minimal processes governing network evolution. Some contribute to growth such as the formation of connections between existing pair of vertices, while others capture deletion; the removal of a node with its corresponding edges, or the removal of an edge between a pair of vertices. We distinguish between these elementary mechanisms, identifying their specific role on network evolution. Nature Publishing Group 2013-10-10 /pmc/articles/PMC3794373/ /pubmed/24108146 http://dx.doi.org/10.1038/srep02920 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Article
Ghoshal, Gourab
Chi, Liping
Barabási, Albert-László
Uncovering the role of elementary processes in network evolution
title Uncovering the role of elementary processes in network evolution
title_full Uncovering the role of elementary processes in network evolution
title_fullStr Uncovering the role of elementary processes in network evolution
title_full_unstemmed Uncovering the role of elementary processes in network evolution
title_short Uncovering the role of elementary processes in network evolution
title_sort uncovering the role of elementary processes in network evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794373/
https://www.ncbi.nlm.nih.gov/pubmed/24108146
http://dx.doi.org/10.1038/srep02920
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