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Three Essays on Network Effects in Online Social Networks

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dc.contributor.authorRojas, Christopher
dc.contributor.chairEasley, David Alan
dc.contributor.committeeMemberJoachims, Thorsten
dc.contributor.committeeMemberPatacchini, Eleonora
dc.date.accessioned2019-10-15T16:48:38Z
dc.date.available2020-02-29T07:00:27Z
dc.date.issued2019-08-30
dc.description.abstractIn my dissertation, I focus on estimating network effects in online social networks, using observational data. In the first chapter of my dissertation, coauthored with David Easley and Eleonora Patacchini, we analyze the effect of peer influence on item adoption decisions on GitHub. The second chapter of my dissertation focuses on gender disparities in contributions and social network formation patterns on GitHub. The third chapter of my dissertation studies peer effects on video-game playing decisions on Steam. In each of the chapters of my dissertation, I deal with social selection by incorporating a machine learning algorithm, popular in online recommendation systems, to predict individual preferences based on previous adoption decisions.
dc.identifier.doihttps://doi.org/10.7298/ghfj-nc95
dc.identifier.otherRojas_cornellgrad_0058F_11529
dc.identifier.otherhttp://dissertations.umi.com/cornellgrad:11529
dc.identifier.otherbibid: 11050578
dc.identifier.urihttps://hdl.handle.net/1813/67595
dc.language.isoen_US
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectDynamic Networks
dc.subjectMatching Algorithms
dc.subjectmachine learning
dc.subjectEconomics
dc.titleThree Essays on Network Effects in Online Social Networks
dc.typedissertation or thesis
dcterms.licensehttps://hdl.handle.net/1813/59810
thesis.degree.disciplineEconomics
thesis.degree.grantorCornell University
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh.D., Economics

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