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dc.contributor.authorYuan, Yuan
dc.contributor.authorAltenburger, Kristen
dc.contributor.authorKooti, Farshad
dc.date.accessioned2022-10-25T18:07:00Z
dc.date.available2022-10-25T18:07:00Z
dc.date.issued2021-04-19
dc.identifier.isbn978-1-4503-8312-7
dc.identifier.urihttps://hdl.handle.net/1721.1/145984
dc.publisherACM|Proceedings of the Web Conference 2021en_US
dc.relation.isversionofhttps://doi.org/10.1145/3442381.3449845en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|Proceedings of the Web Conference 2021en_US
dc.titleCausal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Testsen_US
dc.typeArticleen_US
dc.identifier.citationYuan, Yuan, Altenburger, Kristen and Kooti, Farshad. 2021. "Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests."
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-25T07:48:38Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-10-25T07:48:39Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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