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Data Analysis and Network Visualisation as Tools for Curating Hybrid Correspondence Archives

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Data_Analysis_and_Network_Visualisation_as_Tools_for_Curating_Hybrid_Correspondence_Archives__for_BL_Repository_.docx

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Resource type
Journal article
Creator (person)
Mckean, Callum
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Date published
August 11, 2023
Abstract
This pilot project uses data analytics in Python and network analysis in Gephi to interrogate the ways in which digital and analogue correspondence files (letters and e-mails) function within the Archive of Harold Pinter; reflecting upon what these patterns might mean for archivists, curators and researchers working with hybrid correspondence collections.
Contributor (person)
Randall, Cameron
Project(s)
Using Data Analytics and Network Visualisation to Inform Future Collecting and Research Practice in Hybrid Literary Archives
Funder
Funder nameAwards
Coleridge Fellowship, British Library
Journal title
PrePrint
Publisher
British Library
Place of publication
UK
Rights statement
In Copyright
Keywords
Harold Pinter
visualisations
data science
hybrid archives
Collection
Using Data Analytics and Network Visualisation to Inform Future Collecting and Research Practice in Hybrid Literary Archives (Coleridge Fellowship)
Managed by the British Library and supported by the AHRC

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