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dc.contributor.authorDi Muro, M. A.en_US
dc.contributor.authorValdez, L. D.en_US
dc.contributor.authorAragao Rego, H. H.en_US
dc.contributor.authorBuldyrev, S. V.en_US
dc.contributor.authorStanley, H. E.en_US
dc.contributor.authorBraunstein, L. A.en_US
dc.date.accessioned2020-04-03T14:26:28Z
dc.date.available2020-04-03T14:26:28Z
dc.date.issued2017-11-08
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000414648700026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationM. A. Di Muro, L. D. Valdez, H. H. Aragao Rego, S. V. Buldyrev, H. E. Stanley, L. A. Braunstein. 2017. "Cascading Failures in Interdependent Networks with Multiple Supply-Demand Links and Functionality Thresholds." SCIENTIFIC REPORTS, Volume 7. https://doi.org/10.1038/s41598-017-14384-y
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/2144/39955
dc.description.abstractVarious social, financial, biological and technological systems can be modeled by interdependent networks. It has been assumed that in order to remain functional, nodes in one network must receive the support from nodes belonging to different networks. So far these models have been limited to the case in which the failure propagates across networks only if the nodes lose all their supply nodes. In this paper we develop a more realistic model for two interdependent networks in which each node has its own supply threshold, i.e., they need the support of a minimum number of supply nodes to remain functional. In addition, we analyze different conditions of internal node failure due to disconnection from nodes within its own network. We show that several local internal failure conditions lead to similar nontrivial results. When there are no internal failures the model is equivalent to a bipartite system, which can be useful to model a financial market. We explore the rich behaviors of these models that include discontinuous and continuous phase transitions. Using the generating functions formalism, we analytically solve all the models in the limit of infinitely large networks and find an excellent agreement with the stochastic simulations.en_US
dc.description.sponsorshipThe Boston University work was supported by DTRA Grant HDTRA1-14-1-0017, by DOE Contract DE-AC07-05Id14517, and by NSF Grants CMMI 1125290, PHY 1505000, and CHE-1213217. Yeshiva work was also supported by HDTRA1-14-1-0017. SVB acknowledge the partial support of this research through the Dr. Bernard W. Gamson Computational Science Center at Yeshiva College. MAD and LAB wish to thank to UNMdP, FONCyT and CONICET (Pict 0429/2013, Pict 1407/2014 and PIP 00443/2014) for financial support. HHAR wish to thanks to FAPEMA (UNIVERSAL 1429/16) for financial support. (HDTRA1-14-1-0017 - DTRA; DE-AC07-05Id14517 - DOE; CMMI 1125290 - NSF; PHY 1505000 - NSF; CHE-1213217 - NSF; Dr. Bernard W. Gamson Computational Science Center at Yeshiva College; UNMdP; FONCyT; Pict 0429/2013 - CONICET; Pict 1407/2014 - CONICET; PIP 00443/2014 - CONICET; UNIVERSAL 1429/16 - FAPEMA)en_US
dc.format.extent10 pagesen_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.ispartofScientific Reports
dc.rightsCopyright © 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/.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectScience & technologyen_US
dc.subjectMultidisciplinary sciencesen_US
dc.subjectRandom graphsen_US
dc.subjectRobustnessen_US
dc.subjectRecoveryen_US
dc.subjectBiochemistry and cell biologyen_US
dc.subjectPhysical sciencesen_US
dc.titleCascading failures in interdependent networks with multiple supply-demand links and functionality thresholdsen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.1038/s41598-017-14384-y
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Physicsen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv290864


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Copyright © 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/.
Except where otherwise noted, this item's license is described as Copyright © 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/.