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Networking the Archive: The Stories and Structures of Thos. Agnew's Stock Books

Published: 22 January 2022 Publication History

Abstract

This paper reflects on the recent collaboration between the National Gallery Research Centre and the Department of Digital Humanities at King's College London (NG/DDH). Using the stock books located in the archives of the art dealers Thos. Agnew & Sons as an example, NG/DDH sought to address the potential that such archival sources might have in the world of digital research and Digital Asset Management. Building on this research, NG/DDH participated in the Getty Advanced Workshop on Network Analysis and Digital Art History, which encouraged us to think particularly about the role and nature of network analysis in the field of Digital Art History. In this paper we briefly describe the technical process of digitization, and the possibilities opened up by converting the transactional information contained in the stock books into structured data. We then set this in the historical context of network structures, as embodied by the World Wide Web and social media, and especially the distinction that these types of network have entrenched between objects (or persons) and topics (or other abstract entities). We conclude with an argument that problematizing this distinction – which is enshrined in the whole concept of networks and network analysis – is key if this method is to be applied to art history research.

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  • (2022)Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020929(2490-2499)Online publication date: 17-Dec-2022

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Published In

cover image Journal on Computing and Cultural Heritage
Journal on Computing and Cultural Heritage   Volume 15, Issue 1
February 2022
348 pages
ISSN:1556-4673
EISSN:1556-4711
DOI:10.1145/3505194
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 January 2022
Accepted: 01 August 2021
Revised: 01 May 2021
Received: 01 November 2020
Published in JOCCH Volume 15, Issue 1

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Author Tags

  1. Archives
  2. social media
  3. digital art history
  4. network analysis
  5. cultural heritage

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  • (2022)Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020929(2490-2499)Online publication date: 17-Dec-2022

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