Printers and publishers were among the most decisive — and understudied — agents in how scientific knowledge changed in the early modern period. This paper describes a computational method for reconstructing clusters of social relationships among them, using standard bibliographic data and fingerprints applied to the 359-edition Sphaera corpus, and validates the resulting network against known historical case studies.
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- Authors: Matteo Valleriani, Malte Vogl, Hassan el-Hajj, and Kim Pham
- Journal: Histories 2(4) (2022), 466–503
- DOI: 10.3390/histories2040033
- Featured image: figure from the paper
