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dc.contributor.authorEl Meligy Abdelhamid, Sherif Hanieen_US
dc.date.accessioned2018-08-01T06:00:23Z
dc.date.available2018-08-01T06:00:23Z
dc.date.issued2017-02-06
dc.identifier.othervt_gsexam:9337en_US
dc.identifier.urihttp://hdl.handle.net/10919/84456
dc.description.abstractNetwork science emerged as an interdisciplinary field over the last 20 years, and played a central role to address fundamental problems in other fields, e.g., epidemiology, public health, and transportation, and is now part of most university curriculums. Network dynamics is a major area within network science where researchers study different forms of processes in networked populations, such as the spread of emotions, influence, opinions, flu, ebola, and mass movements. These processes often referred to individually and collectively as contagions. Contagions are increasingly studied because of their economic, social, and political impacts. Yet, resources for studying network dynamics are largely dispersed and stand-alone. Furthermore, many researchers interested in the study of networks are not computer scientists. As a result, they do not have easy access to computing and data resources. Even with the presence of software or tools, it is challenging to install, build, and maintain software. These challenges create a barrier for researchers and domain scientists. The goal of this work is the design and implementation of a research framework for modeling contagions on large networked populations. The framework consists of various systems and services that provide support for researchers and domain scientists at different stages of their research workflow.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis item is protected by copyright and/or related rights. Some uses of this item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectSocial Behavioren_US
dc.subjectContagionsen_US
dc.subjectNetworksen_US
dc.subjectControl of Contagion Processesen_US
dc.subjectGraph Dynamical Systemsen_US
dc.subjectModeling and Simulationen_US
dc.subjectOpen Scienceen_US
dc.subjectSoftware Systemsen_US
dc.subjectWeb Servicesen_US
dc.titleProviding High Performance Computing based Models as a Service: Architecture and Services for Modeling Contagions on Large Networked Populationsen_US
dc.typeDissertationen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreePh. D.en_US
thesis.degree.namePh. D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairMarathe, Madhav Vishnuen_US
dc.contributor.committeechairKuhlman, Christopher Jamesen_US
dc.contributor.committeememberNorth, Christopher L.en_US
dc.contributor.committeememberRavi, S. S.en_US
dc.contributor.committeememberKholief, Mohameden_US


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