Explaining Box Office Performance from the Bottom Up: Data, Theories and Models
dc.contributor.advisor | Axtell, Robert | |
dc.contributor.author | Russo, Holly Ann | |
dc.creator | Russo, Holly Ann | |
dc.date.accessioned | 2016-09-28T10:22:15Z | |
dc.date.available | 2016-09-28T10:22:15Z | |
dc.date.issued | 2016 | |
dc.description.abstract | Every week, there are more than 50 movies playing in theaters from which movie-goers can choose. Analyses of the relative box office success of these films shows that it is Pareto-distributed, with roughly 20% of them earning 80% of the overall revenue. Arthur De Vany studied the potential causes of this ‘winner-take-all’ distribution through equation-based analyses, and theorized that the Pareto-distributed box office revenues we observe emerge from the micro-level complex adaptive behavior of movie-goers with imperfect information. | |
dc.format.extent | 110 pages | |
dc.identifier.uri | https://hdl.handle.net/1920/10440 | |
dc.language.iso | en | |
dc.rights | Copyright 2016 Holly Ann Russo | |
dc.subject | Economics | |
dc.subject | Communication | |
dc.subject | Marketing | |
dc.subject | Agent-based | |
dc.subject | Box office | |
dc.subject | Movies | |
dc.subject | Power law | |
dc.subject | Scale-free network | |
dc.subject | Word of mouth | |
dc.title | Explaining Box Office Performance from the Bottom Up: Data, Theories and Models | |
dc.type | Dissertation | |
thesis.degree.discipline | Computational Social Sciences | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Ph.D. |
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