Essays on the Economics of Networks Under Incomplete Information

Abstract

Abstract 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.

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Cite this paper

@inproceedings{Rapanos2016EssaysOT, title={Essays on the Economics of Networks Under Incomplete Information}, author={Theodoros Rapanos}, year={2016} }