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LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS

dc.contributor.advisorRand, Williamen_US
dc.contributor.authorAriyaratne, Arjunaen_US
dc.date.accessioned2017-01-25T06:33:41Z
dc.date.available2017-01-25T06:33:41Z
dc.date.issued2016en_US
dc.identifierhttps://doi.org/10.13016/M28N8Q
dc.identifier.urihttp://hdl.handle.net/1903/19050
dc.description.abstractThis thesis details an attempt to conduct a large-scale Agent-based modeling simulation where simulating Twitter users are used as an example. In this thesis, Computational Mechanics is used for developing rules that govern each Agent. This thesis also details the development of an entirely new simulation software capable of simulating a large number of Agents by taking advantage of the parallelism offered by latest computing platforms. Development details of this simulation software, named elixrABM, is available from the concept phase to the testing phase of the simulator.en_US
dc.language.isoenen_US
dc.titleLARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERSen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentSystems Engineeringen_US
dc.subject.pqcontrolledComputer scienceen_US
dc.subject.pquncontrolledABMen_US
dc.subject.pquncontrolledAgent Based Modelingen_US
dc.subject.pquncontrolledComputational Mechanicsen_US


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