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        <identifier>oai:www.ideals.illinois.edu:2142/97760</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Sundaram, Hari</dc:contributor>
          <dc:creator>Lee, Wei-Chun</dc:creator>
          <dc:date>2017-08-10T20:33:18Z</dc:date>
          <dc:date>2017-08-10T20:33:18Z</dc:date>
          <dc:date>2019-08-11T09:15:17Z</dc:date>
          <dc:date>2017-04-24</dc:date>
          <dc:date>2017-05</dc:date>
          <dc:description>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.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-05-01</dc:description>
          <dc:description>The student, Wei-Chun Lee, accepted the attached license on 2017-04-20 at 22:08.</dc:description>
          <dc:description>The student, Wei-Chun Lee, submitted this Thesis for approval on 2017-04-20 at 22:11.</dc:description>
          <dc:description>This Thesis was approved for publication on 2017-04-24 at 17:27.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #10952 on 2017-08-10 at 15:06:40</dc:description>
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LEE-THESIS-2017.pdf: 627879 bytes, checksum: 80b841dfa70ff0bd09728f6e72e098de (MD5)
LICENSE.txt: 4206 bytes, checksum: 1312686870c6df16cdbf85971deb5f47 (MD5)
  Previous issue date: 2017-04-24</dc:description>
          <dc:description>Embargo set by: Colleen Fallaw for item 102813
Lift date: 2019-08-10T21:27:21Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 102813 on 2019-08-11T09:15:17Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/97760</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2017 Wei-Chun Lee</dc:rights>
          <dc:subject>Game theory</dc:subject>
          <dc:subject>Resource distribution</dc:subject>
          <dc:subject>Algorithmic game theory</dc:subject>
          <dc:subject>Network coordination game</dc:subject>
          <dc:subject>Product adoption</dc:subject>
          <dc:title>On resource distribution in network coordination game</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Computer Science</department>
            <discipline>Computer Science</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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