Rate of Convergence of Learning in Social Networks

Rate of Convergence of Learning in Social Networks

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We study the rate of convergence of Bayesian learning in social networks. Each individual receives a signal about the underlying state of the world, observes a subset of past actions and chooses one of two possible actions. Our previous work [1] established that when signals generate unbounded likel...

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Bibliographic Details
Main Authors: Lobel, Ilan (Contributor), Acemoglu, Daron (Contributor), Dahleh, Munther A. (Contributor), Ozdaglar, Asuman E. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Economics (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Operations Research Center (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-02-24T15:14:01Z.
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