Date of Award
5-2020
Degree Type
Honors College Thesis
Department
Computing; Mathematics
First Advisor
Bernd Schroeder, Ph.D.
Advisor Department
Mathematics
Abstract
Online games are captivating and engage users across the world. Some game formats maintain a pseudo-currency to give incentive to the players to play the game in search of rewards as set by the game provider. We model a multi-stage online game and predict how much revenue game providers obtain per game. We compare the revenues generated from different tournament formats to find the one with the maximum per-game revenue for the provider. We have also found the limiting value of the revenue as the game provider increases the number of stages.
Our methods are based on concepts of the transition matrix and its stationary form from Markov Chains. The method is scalable and can be used in complex tournament formats by adjusting the proportion of players making it to the next stage in accordance with the tournament format.
Copyright
Copyright for this thesis is owned by the author. It may be freely accessed by all users. However, any reuse or reproduction not covered by the exceptions of the Fair Use or Educational Use clauses of U.S. Copyright Law or without permission of the copyright holder may be a violation of federal law. Contact the administrator if you have additional questions.
Recommended Citation
Sapkota, Nishchal, "Probabilistic Analysis of Revenues in Online Games" (2020). Honors Theses. 695.
https://aquila.usm.edu/honors_theses/695