{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/90705"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/90705","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"Using Mathematical Biology to Model a Revolution","abstract":"In this thesis, we seek to model the dynamics of violent political revolutions using adaptations of mathematical biology models. Existing models of similar social phe- nomena either lack recruitment terms from one population to another, or assume the entire population is a constant size, which is not realistic in this scenario. Therefore, we have created our own models. One of these models treats political ideologies as a social disease, and thus has been adapted from an SIR epidemiology model. The other two treat political factions as populations preying on a susceptible civilian pop- ulation, and as such are adapted from predator-prey and competing species models. We begin by analyzing the mathematical properties of each model before extending them to real-world scenarios and outcomes.","abstract_html":"In this thesis, we seek to model the dynamics of violent political revolutions using adaptations of mathematical biology models. Existing models of similar social phe- nomena either lack recruitment terms from one population to another, or assume the entire population is a constant size, which is not realistic in this scenario. Therefore, we have created our own models. One of these models treats political ideologies as a social disease, and thus has been adapted from an SIR epidemiology model. The other two treat political factions as populations preying on a susceptible civilian pop- ulation, and as such are adapted from predator-prey and competing species models. We begin by analyzing the mathematical properties of each model before extending them to real-world scenarios and outcomes.","abstract_has_math":false,"creators":["Newman, Maisie Jann"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-27T22:02:17Z","subjects":["Differential Equations"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/90705","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Newman, Maisie Jann"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-05-24T08:36:02Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-05-24T08:36:02Z"]},{"key":"dc:date.issued","label":"Date","values":["2018"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Differential Equations"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/90705"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In this thesis, we seek to model the dynamics of violent political revolutions using adaptations of mathematical biology models. Existing models of similar social phe- nomena either lack recruitment terms from one population to another, or assume the entire population is a constant size, which is not realistic in this scenario. Therefore, we have created our own models. One of these models treats political ideologies as a social disease, and thus has been adapted from an SIR epidemiology model. The other two treat political factions as populations preying on a susceptible civilian pop- ulation, and as such are adapted from predator-prey and competing species models. We begin by analyzing the mathematical properties of each model before extending them to real-world scenarios and outcomes."]},{"key":"dc:title","label":"Title","values":["Using Mathematical Biology to Model a Revolution"]}]}],"canonical_facts":{"dc:creator":["Newman, Maisie Jann"],"dc:date.accessioned":["2018-05-24T08:36:02Z"],"dc:date.available":["2018-05-24T08:36:02Z"],"dc:date.issued":["2018"],"dc:description.abstract":["In this thesis, we seek to model the dynamics of violent political revolutions using adaptations of mathematical biology models. Existing models of similar social phe- nomena either lack recruitment terms from one population to another, or assume the entire population is a constant size, which is not realistic in this scenario. Therefore, we have created our own models. One of these models treats political ideologies as a social disease, and thus has been adapted from an SIR epidemiology model. The other two treat political factions as populations preying on a susceptible civilian pop- ulation, and as such are adapted from predator-prey and competing species models. We begin by analyzing the mathematical properties of each model before extending them to real-world scenarios and outcomes."],"dc:identifier.uri":["http://hdl.handle.net/10339/90705"],"dc:language.iso":["en"],"dc:publisher":["Wake Forest University"],"dc:subject":["Differential Equations"],"dc:title":["Using Mathematical Biology to Model a Revolution"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:02:17Z"}