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dc.contributor.authorKreindler, Gabriel Emanuel
dc.contributor.authorYoung, H. Peyton
dc.date.accessioned2015-02-05T17:12:19Z
dc.date.available2015-02-05T17:12:19Z
dc.date.issued2014-07
dc.date.submitted2014-02
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/93787
dc.description.abstractSocial and technological innovations often spread through social networks as people respond to what their neighbors are doing. Previous research has identified specific network structures, such as local clustering, that promote rapid diffusion. Here we derive bounds that are independent of network structure and size, such that diffusion is fast whenever the payoff gain from the innovation is sufficiently high and the agents’ responses are sufficiently noisy. We also provide a simple method for computing an upper bound on the expected time it takes for the innovation to become established in any finite network. For example, if agents choose log-linear responses to what their neighbors are doing, it takes on average less than 80 revision periods for the innovation to diffuse widely in any network, provided that the error rate is at least 5% and the payoff gain (relative to the status quo) is at least 150%. Qualitatively similar results hold for other smoothed best-response functions and populations that experience heterogeneous payoff shocks.en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-09-1-0751)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (Grant FA9550-09-1-0538)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1400842111en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNational Academy of Sciences (U.S.)en_US
dc.titleRapid innovation diffusion in social networksen_US
dc.typeArticleen_US
dc.identifier.citationKreindler, Gabriel E., and H. Peyton Young. “Rapid Innovation Diffusion in Social Networks.” Proceedings of the National Academy of Sciences 111, no. Supplement_3 (July 14, 2014): 10881–10888.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.contributor.mitauthorKreindler, Gabriel Emanuelen_US
dc.relation.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKreindler, Gabriel E.; Young, H. Peytonen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3847-7763
mit.licensePUBLISHER_POLICYen_US


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