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Regulation of burstiness by network-driven activation
We prove that complex networks of interactions have the capacity to regulate and buffer unpredictable fluctuations in production events. We show that non-bursty network-driven activation dynamics can effectively regulate the level of burstiness in the production of nodes, which can be enhanced or re...
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/PMC4429350/ https://www.ncbi.nlm.nih.gov/pubmed/25969428 http://dx.doi.org/10.1038/srep09714 |
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author | García-Pérez, Guillermo Boguñá, Marián Serrano, M. Ángeles |
author_facet | García-Pérez, Guillermo Boguñá, Marián Serrano, M. Ángeles |
author_sort | García-Pérez, Guillermo |
collection | PubMed |
description | We prove that complex networks of interactions have the capacity to regulate and buffer unpredictable fluctuations in production events. We show that non-bursty network-driven activation dynamics can effectively regulate the level of burstiness in the production of nodes, which can be enhanced or reduced. Burstiness can be induced even when the endogenous inter-event time distribution of nodes' production is non-bursty. We find that hubs tend to be less susceptible to the networked regulatory effects than low degree nodes. Our results have important implications for the analysis and engineering of bursty activity in a range of systems, from communication networks to transcription and translation of genes into proteins in cells. |
format | Online Article Text |
id | pubmed-4429350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44293502015-05-21 Regulation of burstiness by network-driven activation García-Pérez, Guillermo Boguñá, Marián Serrano, M. Ángeles Sci Rep Article We prove that complex networks of interactions have the capacity to regulate and buffer unpredictable fluctuations in production events. We show that non-bursty network-driven activation dynamics can effectively regulate the level of burstiness in the production of nodes, which can be enhanced or reduced. Burstiness can be induced even when the endogenous inter-event time distribution of nodes' production is non-bursty. We find that hubs tend to be less susceptible to the networked regulatory effects than low degree nodes. Our results have important implications for the analysis and engineering of bursty activity in a range of systems, from communication networks to transcription and translation of genes into proteins in cells. Nature Publishing Group 2015-05-13 /pmc/articles/PMC4429350/ /pubmed/25969428 http://dx.doi.org/10.1038/srep09714 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved 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 in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article García-Pérez, Guillermo Boguñá, Marián Serrano, M. Ángeles Regulation of burstiness by network-driven activation |
title | Regulation of burstiness by network-driven activation |
title_full | Regulation of burstiness by network-driven activation |
title_fullStr | Regulation of burstiness by network-driven activation |
title_full_unstemmed | Regulation of burstiness by network-driven activation |
title_short | Regulation of burstiness by network-driven activation |
title_sort | regulation of burstiness by network-driven activation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429350/ https://www.ncbi.nlm.nih.gov/pubmed/25969428 http://dx.doi.org/10.1038/srep09714 |
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