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dc.contributor.authorRettberg, Jill Walker
dc.contributor.authorBerry, David M.
dc.contributor.authorBorra, Erik
dc.contributor.authorHelmond, Anne
dc.contributor.authorPlantin, Jean-Christophe
dc.description.abstractThis paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (,, and to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.en_US
dc.publisherDigital Humanities Quarterlyeng
dc.subjectdigital humanitieseng
dc.subjectelectronic literatureeng
dc.subjectnetwork analysiseng
dc.titleThe Data Sprint Approach: Exploring the field of Digital Humanities through Amazon’s Application Programming Interfaceeng
dc.typePeer reviewed
dc.typeJournal article
dc.rights.holderCopyright The Author(s).eng
dc.source.journalDigital Humanities Quarterly
dc.subject.nsiVDP::Humaniora: 000

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