Enriching and Cutting: How to Visualize Networks Thanks to Linked Open Data Platforms
| Autor: | Léa Saint-Raymond, Antoine Courtin |
|---|---|
| Přispěvatelé: | École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL), Institut National d'Histoire de l'Art (INHA), INHA, Saint-Raymond, Léa |
| Předmět: |
realignment
social network analysis [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI] art market [INFO] Computer Science [cs] [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] Digital Humanities semantic web [SHS.HIST] Humanities and Social Sciences/History data enrichment [INFO]Computer Science [cs] Arts and Humanities [SHS.HIST]Humanities and Social Sciences/History visualization |
| Zdroj: | HAL Artl@s Bulletin Artl@s Bulletin, École normale supérieure / CNRS, 2017 |
| ISSN: | 2264-2668 |
| Popis: | International audience; Networks are developing very quickly in the social sciences, and they are beginning to emerge in art history. This paper explores the making of network visualizations, from the building of the dataset to the analysis of results. Starting from an initial corpus regarding the Parisian auction sales for modern paintings, we developed a methodology to enrich it, thanks to linked open data platforms and technologies for realigning datasets. We then call into question the visualization of networks. Although it brings about an overview of the market and allows a very close reading, the best is the enemy of the good: too much information and too many nodes may represent a handicap, hence the need for both cutting networks and combining them with other modes of visualization. |
| Databáze: | OpenAIRE |
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