On resource distribution in network coordination game

Product adoption is an important topic from the marketing perspective. People want to understand how a new product penetrates a market. Researchers propose many models to capture product adoption growth as well as the decision-making process for individuals. In this work, we identify the lack of consideration in current research of how much time people spend on their friends and families. We develop a new game-theoretical framework to model how people spend their time. Also, we analyze the extreme cases in this model. In addition, we do extensive simulations to understand the average case performance of the steady state. We find that our resource allocation model is a potential game and the efficiency of the steady state of the game is very good on average.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Lee, Wei-Chun

Contributors dc:contributor

• Sundaram, Hari

• Game theory
• Resource distribution
• Algorithmic game theory
• Network coordination game
• Product adoption

Statement dc:rights

• Copyright 2017 Wei-Chun Lee

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/97760

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/97760