Social networks constitute a major channel for the diffusion of information and the formation of attitudes in a society. Introducing a dynamic model of social learning, the first part of this thesis studies the emergence of socially influential individuals and groups, and identifies the characteristics that make them influential. The second part uses a Bayesian network game to analyse the role of social interaction and conformism in the making of decisions whose returns or costs are ex ante uncertain.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:su-132199 |
| Date | January 2016 |
| Creators | Rapanos, Theodoros |
| Publisher | Stockholms universitet, Nationalekonomiska institutionen, Stockholm : Department of Economics, Stockholm University |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Doctoral thesis, monograph, info:eu-repo/semantics/doctoralThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | Dissertations in Economics, 1404-3491 ; 2016:1 |
Page generated in 0.0066 seconds