Skip navigation
Please use this identifier to cite or link to this item:
Title: An Analysis of Television Show Viewership Growth through SIR Virus Models
Authors: Thayaparan, Leann
Advisors: Cheridito, Patrick
Department: Operations Research and Financial Engineering
Class Year: 2016
Abstract: In today's society the word "viral" has taken on new meaning. It has escaped beyond its original domain of biology and has entered the world of popular culture in order to describe media with explosive growth in viewership. This concept of contagious ideas is reflected in qualitative research on the spread of ideas, but for the most part it has not yet been translated into mathematical work. This thesis creates a model which uses the concept of contagion to quantifiably analyze the spread of television show viewership. The Television Viewership Contagion Model developed by this thesis utilizes SIR virus models, created by biologists to study the spread of epidemics through well-mixed populations, to model and predict the growth in TV Show viewership. The Television Viewership Contagion Model draws upon previous applications of the SIR model to both emotional and social contagion in order to simulate how interest in a television program spreads through a population.
Extent: 92 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2016

Files in This Item:
File SizeFormat 
Thayaparan_Leann_final_thesis.pdf508.52 kBAdobe PDF    Request a copy

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.