Network Structural Origin of Instabilities in Large Complex Systems

dc.authorid Eroglu, Deniz/0000-0001-6725-6949
dc.authorid Nishikawa, Takashi/0000-0002-2147-0242
dc.authorid Motter, Adilson E./0000-0003-1794-4828
dc.authorid Duan, Chao/0000-0001-7358-3524
dc.authorwosid Eroglu, Deniz/GVS-9233-2022
dc.authorwosid Nishikawa, Takashi/B-3752-2010
dc.contributor.author Duan, Chao
dc.contributor.author Eroğlu, Deniz
dc.contributor.author Nishikawa, Takashi
dc.contributor.author Eroglu, Deniz
dc.contributor.author Motter, Adilson E.
dc.contributor.other Molecular Biology and Genetics
dc.date.accessioned 2023-10-19T15:11:32Z
dc.date.available 2023-10-19T15:11:32Z
dc.date.issued 2022
dc.department-temp [Duan, Chao] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China; [Duan, Chao; Nishikawa, Takashi; Eroglu, Deniz; Motter, Adilson E.] Northwestern Univ, Dept Phys & Astron, Evanston, IL 60208 USA; [Nishikawa, Takashi; Motter, Adilson E.] Northwestern Univ, Northwestern Inst Complex Syst, Evanston, IL 60208 USA; [Eroglu, Deniz] Kadir Has Univ, Dept Mol Biol & Genet, TR-34083 Istanbul, Turkey en_US
dc.description.abstract A central issue in the study of large complex network systems, such as power grids, financial networks, and ecological systems, is to understand their response to dynamical perturbations. Recent studies recognize that many real networks show nonnormality and that nonnormality can give rise to reactivity-the capacity of a linearly stable system to amplify its response to perturbations, oftentimes exciting nonlinear instabilities. Here, we identify network structural properties underlying the pervasiveness of nonnormality and reactivity in real directed networks, which we establish using the most extensive dataset of such networks studied in this context to date. The identified properties are imbalances between incoming and outgoing network links and paths at each node. On the basis of this characterization, we develop a theory that quantitatively predicts nonnormality and reactivity and explains the observed pervasiveness. We suggest that these results can be used to design, upgrade, control, and manage networks to avoid or promote network instabilities. en_US
dc.description.sponsorship ARO [W911NF-19-1-0383]; TUBITAK [119F125] en_US
dc.description.sponsorship This research was supported by ARO grant no. W911NF-19-1-0383. D.E. also acknowledges support from TUBITAK grant no. 119F125. en_US
dc.identifier.citationcount 9
dc.identifier.doi 10.1126/sciadv.abm8310 en_US
dc.identifier.issn 2375-2548
dc.identifier.issue 28 en_US
dc.identifier.pmid 35857524 en_US
dc.identifier.scopus 2-s2.0-85134218070 en_US
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1126/sciadv.abm8310
dc.identifier.uri https://hdl.handle.net/20.500.12469/5068
dc.identifier.volume 8 en_US
dc.identifier.wos WOS:000826385700009 en_US
dc.identifier.wosquality Q1
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher Amer Assoc Advancement Science en_US
dc.relation.ispartof Science Advances en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 22
dc.subject Stability-Criteria En_Us
dc.subject Amplification En_Us
dc.subject Nonnormality En_Us
dc.subject Dynamics En_Us
dc.subject Spectra En_Us
dc.subject Stability-Criteria
dc.subject Amplification
dc.subject Nonnormality
dc.subject Dynamics
dc.subject Spectra
dc.title Network Structural Origin of Instabilities in Large Complex Systems en_US
dc.type Article en_US
dc.wos.citedbyCount 21
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery 5bae555f-a8aa-4b95-bcfe-54cc47812e13
relation.isOrgUnitOfPublication 71ce8622-7449-4a6a-8fad-44d881416546
relation.isOrgUnitOfPublication.latestForDiscovery 71ce8622-7449-4a6a-8fad-44d881416546

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