Enriching and Cutting: How to Visualize Networks Thanks to Linked Open Data Platforms

نویسندگان

  • Lea Saint-Raymond
  • Antoine Courtin
  • Léa Saint-Raymond
چکیده

Conspicuous in the social sciences, networks analyses are becoming more common in art history. This paper takes a pragmatic look at network visualizations through the study of a specific corpus: Parisian auction sales for “modern paintings.” This initial data set was enriched using linked open data platforms and technologies for realigning datasets, and then visualized to represent networks of artists and buyers. Although these visualizations bring about an overview of the market and allows very close readings, they run the risk of being illegible, unless they are combined with other modes of visualization. Léa Saint-Raymond * Université Paris Nanterre / ENS Antoine Courtin **

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تاریخ انتشار 2017