Three Essays on Network Effects in Online Social Networks

In 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.

Name thesis:degree_name

Ph.D., Economics

Level thesis:degree_level

Doctor of Philosophy

Discipline thesis:degree_discipline

Economics

Grantor

Cornell University

Year dc:date.issued

2019

Author dc:creator

• Rojas, Christopher

Committee members dc:contributor.committeemember

• Joachims, Thorsten
• Patacchini, Eleonora

• Dynamic Networks
• Matching Algorithms
• machine learning
• Economics

Statement dc:rights

• Attribution 4.0 International

Licence dc:rights.uri

• https://creativecommons.org/licenses/by/4.0/

Language dc:language.iso

en_US

DOI

https://doi.org/10.7298/ghfj-nc95

Dc Identifier Other

ProQuest Submission ID: 11529
ProQuest Publication ID: 13902676

OAI identifier oai:identifier

oai:ecommons.cornell.edu:1813/67595