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dc.rights.licenseCC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 license. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorGao, Jianxi
dc.contributorXia, Lirong
dc.contributor.advisorSzymanski, Boleslaw K.
dc.contributor.authorTabin, Daniel R.
dc.date.accessioned2022-09-15T22:08:03Z
dc.date.available2022-09-15T22:08:03Z
dc.date.issued2021-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/6173
dc.descriptionMay 2021
dc.descriptionSchool of Science
dc.description.abstractIn this thesis we discuss the model from the paper “Polarization and Tipping Points” which the author of this thesis coauthored. We go into depth about the decisioning and reasoning behind multiple features of the model and discuss possible future improvements and potential future research. During this, we highlight some of my own specific contributions to the model and paper. In addition to giving background to the model we used to analyze political polarization, we give a background in the current academic literature surrounding political polarization as a whole.
dc.languageENG
dc.language.isoen_US
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputer science
dc.titleA network and agent basedmodel of political polarization
dc.typeElectronic thesis
dc.typeThesis
dc.date.updated2022-09-15T22:08:05Z
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute (RPI), Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons
                            Attribution-Noncommercial-No Derivative Works 3.0 license. No commercial use or derivatives
                            are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 license. No commercial use or derivatives are permitted without the explicit approval of the author.