Three essays on adoption in social networks
| dc.contributor.advisor | Whinston, Andrew B. | en |
| dc.contributor.committeeMember | Abrevaya, Jason | en |
| dc.contributor.committeeMember | Hayashi, Takashi | en |
| dc.contributor.committeeMember | Mote, John | en |
| dc.contributor.committeeMember | Xu, Haiqing | en |
| dc.creator | Shi, Zhan | en |
| dc.date.accessioned | 2013-02-22T17:18:29Z | en |
| dc.date.issued | 2012-12 | en |
| dc.date.submitted | December 2012 | en |
| dc.date.updated | 2013-02-22T17:18:29Z | en |
| dc.description | text | en |
| dc.description.abstract | In the fast growing online social networks, one of the most commonly observed phenomena is the diffusion of information contents, behaviors or products through network members’ interactions. In this thesis, I study the diffusion phenomenon by examining the individual-level adoption decision, both theoretically and empirically. In the three essays, I study the effects of the strength of the interpersonal tie and the social network characteristics on a potential adopter’s decision-making, and investigate the measurement of network members’ influences. | en |
| dc.description.department | Economics | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/19541 | en |
| dc.language.iso | en_US | en |
| dc.subject | Social-network | en |
| dc.subject | Social-media | en |
| dc.subject | Diffusion | en |
| dc.subject | Structural-modeling | en |
| dc.subject | Econometrics | en |
| dc.subject | Observational-learning | en |
| dc.subject | Social-influence | en |
| dc.title | Three essays on adoption in social networks | en |
| thesis.degree.department | Economics | en |
| thesis.degree.discipline | Economics | en |
| thesis.degree.grantor | The University of Texas at Austin | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |