Oscillations in networks of networks stem from adaptive nodes with memory

Abstract 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 quantitativ...

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Autores principales:	Amir Goldental, Herut Uzan, Shira Sardi, Ido Kanter
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/657549b4f81541a8b0fb04ea9278e302
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spelling	oai:doaj.org-article:657549b4f81541a8b0fb04ea9278e3022021-12-02T16:06:14ZOscillations in networks of networks stem from adaptive nodes with memory10.1038/s41598-017-02814-w2045-2322https://doaj.org/article/657549b4f81541a8b0fb04ea9278e3022017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02814-whttps://doaj.org/toc/2045-2322Abstract 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.Amir GoldentalHerut UzanShira SardiIdo KanterNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amir Goldental Herut Uzan Shira Sardi Ido Kanter Oscillations in networks of networks stem from adaptive nodes with memory
description	Abstract 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.
format	article
author	Amir Goldental Herut Uzan Shira Sardi Ido Kanter
author_facet	Amir Goldental Herut Uzan Shira Sardi Ido Kanter
author_sort	Amir Goldental
title	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_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_sort	oscillations in networks of networks stem from adaptive nodes with memory
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/657549b4f81541a8b0fb04ea9278e302
work_keys_str_mv	AT amirgoldental oscillationsinnetworksofnetworksstemfromadaptivenodeswithmemory AT herutuzan oscillationsinnetworksofnetworksstemfromadaptivenodeswithmemory AT shirasardi oscillationsinnetworksofnetworksstemfromadaptivenodeswithmemory AT idokanter oscillationsinnetworksofnetworksstemfromadaptivenodeswithmemory
_version_	1718385093427331072

Oscillations in networks of networks stem from adaptive nodes with memory

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