Learning in Canonical Networks

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dc.creatorChoi, S.
dc.creatorGoyal, S.
dc.creatorMoisan, F.
dc.creatorTo, Y. Y. T.
dc.date2022-07-05T16:43:15Z
dc.date2022-07-05T16:43:15Z
dc.date2022-06-01
dc.date.accessioned2026-08-03T01:33:44Z
dc.descriptionSubjects observe a private signal and then make an initial guess; they observe their neighbors’ guesses and guess again, and so forth. We study learning dynamics in three networks: Erdös-Rényi, Stochastic Block (reflecting homophily) and Royal Family (that accommodates both highly connected celebrities and local intearctions). We find that the Royal Family network is more likely to sustain incorrect consensus and that the Stochastic Block network is more likely to persist with diverse beliefs. These aggregate patterns are consistent with individuals following DeGroot updating rule.
dc.formatapplication/pdf
dc.identifierCWPE2235
dc.identifierJIWP2212
dc.identifierhttps://www.repository.cam.ac.uk/handle/1810/338813
dc.identifier10.17863/CAM.86220
dc.identifier.urihttps://repo.dare.co.zw/handle/123456789/155883
dc.languageeng
dc.publisherFaculty of Economics, University of Cambridge
dc.relationCambridge Working Papers in Economics
dc.relationJaneway Institute Working Paper Series
dc.rightsAll Rights Reserved
dc.rightshttps://www.rioxx.net/licenses/all-rights-reserved/
dc.subjectsocial learning
dc.subjectsocial networks
dc.subjectexperimental social science
dc.subjectconsensus
dc.titleLearning in Canonical Networks
dc.typeWorking Paper

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