Oscillations in networks of networks stem from adaptive nodes with memory

We present an analytical framework that allows the quantitative study of statistical dynamic properties of networks with adaptive nodes that have memory and is used to examine the emergence of oscillations in networks with response failures. The frequency of the oscillations was quantitatively found...

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Autores principales: Goldental, Amir, Uzan, Herut, Sardi, Shira, Kanter, Ido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457433/
https://www.ncbi.nlm.nih.gov/pubmed/28578398
http://dx.doi.org/10.1038/s41598-017-02814-w
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author Goldental, Amir
Uzan, Herut
Sardi, Shira
Kanter, Ido
author_facet Goldental, Amir
Uzan, Herut
Sardi, Shira
Kanter, Ido
author_sort Goldental, Amir
collection PubMed
description We present an analytical framework that allows the quantitative study of statistical dynamic properties of networks with adaptive nodes that have memory and is used to examine the emergence of oscillations in networks with response failures. The frequency of the oscillations was quantitatively found to increase with the excitability of the nodes and with the average degree of the network and to decrease with delays between nodes. For networks of networks, diverse cluster oscillation modes were found as a function of the topology. Analytical results are in agreement with large-scale simulations and open the horizon for understanding network dynamics composed of finite memory nodes as well as their different phases of activity.
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spelling pubmed-54574332017-06-06 Oscillations in networks of networks stem from adaptive nodes with memory Goldental, Amir Uzan, Herut Sardi, Shira Kanter, Ido Sci Rep Article We present an analytical framework that allows the quantitative study of statistical dynamic properties of networks with adaptive nodes that have memory and is used to examine the emergence of oscillations in networks with response failures. The frequency of the oscillations was quantitatively found to increase with the excitability of the nodes and with the average degree of the network and to decrease with delays between nodes. For networks of networks, diverse cluster oscillation modes were found as a function of the topology. Analytical results are in agreement with large-scale simulations and open the horizon for understanding network dynamics composed of finite memory nodes as well as their different phases of activity. Nature Publishing Group UK 2017-06-02 /pmc/articles/PMC5457433/ /pubmed/28578398 http://dx.doi.org/10.1038/s41598-017-02814-w Text en © The Author(s) 2017 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/.
spellingShingle Article
Goldental, Amir
Uzan, Herut
Sardi, Shira
Kanter, Ido
Oscillations in networks of networks stem from adaptive nodes with memory
title Oscillations in networks of networks stem from adaptive nodes with memory
title_full Oscillations in networks of networks stem from adaptive nodes with memory
title_fullStr Oscillations in networks of networks stem from adaptive nodes with memory
title_full_unstemmed Oscillations in networks of networks stem from adaptive nodes with memory
title_short Oscillations in networks of networks stem from adaptive nodes with memory
title_sort oscillations in networks of networks stem from adaptive nodes with memory
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457433/
https://www.ncbi.nlm.nih.gov/pubmed/28578398
http://dx.doi.org/10.1038/s41598-017-02814-w
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AT kanterido oscillationsinnetworksofnetworksstemfromadaptivenodeswithmemory

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