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dc.contributor.authorBarach, Gilad
dc.date.accessioned2018-11-06T18:03:04Z
dc.date.available2018-11-06T18:03:04Z
dc.date.issued2014-06
dc.identifier.urihttps://hdl.handle.net/20.500.12202/4085
dc.identifier.urihttps://ezproxy.yu.edu/login?url=https://repository.yu.edu/handle/20.500.12202/4085
dc.descriptionThe file is restricted for YU community access only.
dc.description.abstractWe study the disintegration of a network when nodes fail due to a betweenness overload, triggered by an attack. We study the final size of the network as a function of the size of the attack. We look at different methods of finding the location and nature of the disintegration transition. We discuss the advantages and disadvantages of each method. We discuss a heuristic method to predict, based on the distribution of the nodes’ betweenness, what size attack will lead to the the network’s disintegration. We concentrate on the region where the network disintegrates through a series of cascades, and we detect interesting patterns in the number of cascade stages as a function of the size of the attack, which presents clear plateau regions and regions of transition between them. This correlates with strong oscillations in the final size of the system as a function of the size of the attack. We also study these different regions through comparing the distributions of betweenness at different stages of the cascade for different realizations.en_US
dc.description.sponsorshipJay and Jeanie Schottenstein Honors Programen_US
dc.language.isoen_USen_US
dc.publisherYeshiva Collegeen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCommunication --Network analysis.en_US
dc.subjectManagement.en_US
dc.subjectTelecommunication systems.en_US
dc.subjectFailure mode and effects analysis.en_US
dc.titleStudies of Cascades of Overload Failure in Random Regular Networksen_US
dc.typeThesisen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States