PREDICTING CONTESTANT BEHAVIOR ON SURVIVOR USING CLUSTER ANALYSIS
| dc.contributor.advisor | Glasner, Karl | |
| dc.contributor.author | Martin, Cassidy Taylor | |
| dc.creator | Martin, Cassidy Taylor | |
| dc.date.accessioned | 2018-10-17T02:38:37Z | |
| dc.date.available | 2018-10-17T02:38:37Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Martin, Cassidy Taylor. (2018). PREDICTING CONTESTANT BEHAVIOR ON SURVIVOR USING CLUSTER ANALYSIS (Bachelor's thesis, University of Arizona, Tucson, USA). | |
| dc.identifier.uri | http://hdl.handle.net/10150/630291 | |
| dc.description.abstract | The research in this paper explores how clustering and partitioning analysis can work to predict human decision making and behavior in the context of the reality television show Survivor. By building off of recent research in partitioning signed social networks, this research examines if it is possible to predict how people on the show will group themselves based on their observed social interactions. Also, this research examines if it is possible to predict who contestants will vote out of the social group based on their social interactions and how contestants describe one another. | |
| dc.language.iso | en | |
| dc.publisher | The University of Arizona. | |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.title | PREDICTING CONTESTANT BEHAVIOR ON SURVIVOR USING CLUSTER ANALYSIS | |
| dc.type | text | |
| dc.type | Electronic Thesis | |
| thesis.degree.level | bachelors | |
| thesis.degree.discipline | Honors College | |
| thesis.degree.discipline | Mathematics | |
| thesis.degree.name | B.A. | |
| refterms.dateFOA | 2018-10-17T02:38:37Z |
