This 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 (Amazon.com, Amazon.co.uk,
Amazon.fr and Amazon.de) 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.
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let
the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible
and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands.
You will be contacted as soon as possible.