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dc.contributor.authorPaarporn, Keith
dc.date.accessioned2016-08-22T12:25:04Z
dc.date.available2016-08-22T12:25:04Z
dc.date.created2016-08
dc.date.issued2016-08-01
dc.date.submittedAugust 2016
dc.identifier.urihttp://hdl.handle.net/1853/55676
dc.description.abstractWe study an SIS (susceptible-infected-susceptible) model of disease spread over a contact network of n agents. The agents receive personalized information about the epidemic through their social network and a global broadcast of the current infected fraction among the population. They reduce interactions with their neighbors when they believe the epidemic is prevalent. The epidemic dynamics are described by a Markov chain, from which a mean-field approximation (MFA) is derived. We derive a threshold condition above which the epidemic is expected to persist for a long time, and below which it dies out quickly. Through a coupling argument, we also establish stochastic domination properties between the awareness model and the model with no awareness. The effect awareness has on the disease dynamics is studied on various random graph families.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectEpidemics
dc.subjectNetworks
dc.subjectMarkov chains
dc.titleDynamics of epidemic spreading over networks with agent awareness
dc.typeThesis
dc.description.degreeM.S.
dc.contributor.departmentElectrical and Computer Engineering
thesis.degree.levelMasters
dc.contributor.committeeMemberShamma, Jeff
dc.contributor.committeeMemberEgerstedt, Magnus B.
dc.contributor.committeeMemberWardi, Yorai
dc.date.updated2016-08-22T12:25:04Z


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