Art Market Network Analysis with Wikidata Sparql Queries and Beyond

What might replicable data pipeline from #Wikidata #KG Query to Data Frame to Network Visualisation of owners of artworks passing through a specific network look like?
Perls Family Network-Red
Links to other owners-Blue
Jupyter Notebook in Google CoLabs
👉https://t.co/2oyU0kmuqi pic.twitter.com/UdQhY8ZKVp

— Open Art Data | @openartdata.bsky.social (@OpenLinkArtData) August 21, 2024

 

What might replicable data pipeline from #Wikidata #KG Query to Data Frame to Network Visualisation of owners of artworks passing through a specific network look like?

In the example below, we look at 27 artworks that passed through one of the members of the Perls art dealing dynasty or one of their companies.

The starting point is a Wikdata Query to retrieve the artworks known to have been owned by one of the Perls family, as well as the other known owners of the same artworks.

The information is retrieved from Wikidata, loaded into a Data Frame, then visualised with MatPlotLib.

The code is saved in a Jupyter Notebook and Shared publicly via Google Colab.

Anyone with a Google Account should be able to run the code simply by clicking on the arrows to the left of each code cell.

Try it and let me know if it works.

https://colab.research.google.com/drive/1f7V2SMzxkCmt2lbCS3l4ulotqUGghNAm#scrollTo=0sPcg-gWZOo3

Perls Family Network-Red

Links to other owners-Blue

Jupyter Notebook in Google CoLabs

https://colab.research.google.com/drive/1f7V2SMzxkCmt2lbCS3l4ulotqUGghNAm#scrollTo=0sPcg-gWZOo3

Provenance patterns: visualising unreliability words in red

In this post, we look at another way of automating the analysis of hundreds of artworks at a time with reusable code. 

"Unreliability" words have been automatically formatted in red. 

The count refers to the number of artworks containing "unreliability" words for the same artist in the dataset.

Selected paintings with "unreliability" words such as "probably", "possibly", "presumably" and "likely".

The analysis and table were produced by Python code run in a Jupyter Notebook on a Mac.

The Notebook will be shared after a few more tests.

How solid is an art provenance text? Analysis of a Degas sculpture at the NGA

"Probably", "possibly", "apparently", "proposes" and "allegedly" in texts for Degas' Dancer Adjusting the Shoulder Strap of Her Bodice, original wax 1880s/1890s, cast 1920/1949 at the NGA

DATASET: Art Provenances AFTER Restitution of Looted Art

Claims for Nazi-looted art or duress sales sometimes result in restitution or settlement agreements which cause the restituted artwork to be sold at auction.

Below are artworks whose provenance, as published by Christie's auction house, mentions a restitution or settlement agreement with the heir of a victim of Nazi persecution.

These provenance texts provide valuable information to art historians and Holocaust researchers, offering insights into the art market networks that dealt in Holocaust-linked artworks between the time they left the possession of the persecuted Jewish collectors and the time they were restituted.

(original source of information: Christie's auction website)

_____

Dataset:  CSV Download 

_____

URL: 

https://docs.google.com/spreadsheets/d/e/2PACX-1vT9UtnanPSGuAIi63ObN4G4xtK2Ya6_eIzgIAM2ILah-kxKJhHRmvgeFdCnWdKxcEDfHKpQvNJfUNCh/pubhtml?gid=1713651722&single=true

Erasing Jewish owners from provenance: Martha Liebermann

 

Martha Liebermann committed suicide the day before her planned deportation by the #Nazis to the Theresienstadt Ghetto

Her heirs list this portrait of her daughter Käte by her husband Max on Lost Art.

You would not know this from the #NGA's #provenance.https://t.co/5JY2Clrb0b pic.twitter.com/q0xVQLhDkb

— Open Art Data | @openartdata.bsky.social (@OpenLinkArtData) July 9, 2024