The inherent uncertainty of temporal networks is a true challenge for control

Abstract Recently, it has been suggested that network temporality can be exploited to substantially reduce the energy required to control complex networks. This somewhat counterintuitive finding was explained through an evocative example of the advantage of temporal networks: when navigating a sailb...

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Autores principales:	Pietro De Lellis, Anna Di Meglio, Franco Garofalo, Francesco Lo Iudice
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/10fbd43a8874486895e5351dfad89be1
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spelling	oai:doaj.org-article:10fbd43a8874486895e5351dfad89be12021-12-02T17:04:07ZThe inherent uncertainty of temporal networks is a true challenge for control10.1038/s41598-021-86059-82045-2322https://doaj.org/article/10fbd43a8874486895e5351dfad89be12021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86059-8https://doaj.org/toc/2045-2322Abstract Recently, it has been suggested that network temporality can be exploited to substantially reduce the energy required to control complex networks. This somewhat counterintuitive finding was explained through an evocative example of the advantage of temporal networks: when navigating a sailboat, we raise the sails when the wind helps us while lowering them when it works against us. Unfortunately, controlling complex networks inherits a further analogy with navigating a sailboat: having to face the inherent uncertainty of future winds. We rarely, if ever, have deterministic knowledge of the evolution of the network we want to control. Here, our challenge is to exploit the potential advantages of temporality when only a probabilistic description of the future is available. We prove that, in this more realistic setting, exploiting temporality is no more a panacea for network control, but rather an asset of a wider toolbox made available by the scientific community. One that can indeed turn out useful, provided that the temporality of the network structure matches the intrinsic time scales of the nodes we want to control.Pietro De LellisAnna Di MeglioFranco GarofaloFrancesco Lo IudiceNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pietro De Lellis Anna Di Meglio Franco Garofalo Francesco Lo Iudice The inherent uncertainty of temporal networks is a true challenge for control
description	Abstract Recently, it has been suggested that network temporality can be exploited to substantially reduce the energy required to control complex networks. This somewhat counterintuitive finding was explained through an evocative example of the advantage of temporal networks: when navigating a sailboat, we raise the sails when the wind helps us while lowering them when it works against us. Unfortunately, controlling complex networks inherits a further analogy with navigating a sailboat: having to face the inherent uncertainty of future winds. We rarely, if ever, have deterministic knowledge of the evolution of the network we want to control. Here, our challenge is to exploit the potential advantages of temporality when only a probabilistic description of the future is available. We prove that, in this more realistic setting, exploiting temporality is no more a panacea for network control, but rather an asset of a wider toolbox made available by the scientific community. One that can indeed turn out useful, provided that the temporality of the network structure matches the intrinsic time scales of the nodes we want to control.
format	article
author	Pietro De Lellis Anna Di Meglio Franco Garofalo Francesco Lo Iudice
author_facet	Pietro De Lellis Anna Di Meglio Franco Garofalo Francesco Lo Iudice
author_sort	Pietro De Lellis
title	The inherent uncertainty of temporal networks is a true challenge for control
title_short	The inherent uncertainty of temporal networks is a true challenge for control
title_full	The inherent uncertainty of temporal networks is a true challenge for control
title_fullStr	The inherent uncertainty of temporal networks is a true challenge for control
title_full_unstemmed	The inherent uncertainty of temporal networks is a true challenge for control
title_sort	inherent uncertainty of temporal networks is a true challenge for control
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/10fbd43a8874486895e5351dfad89be1
work_keys_str_mv	AT pietrodelellis theinherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT annadimeglio theinherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT francogarofalo theinherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT francescoloiudice theinherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT pietrodelellis inherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT annadimeglio inherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT francogarofalo inherentuncertaintyoftemporalnetworksisatruechallengeforcontrol AT francescoloiudice inherentuncertaintyoftemporalnetworksisatruechallengeforcontrol
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The inherent uncertainty of temporal networks is a true challenge for control

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