Showing posts with label predictive network analysis. Show all posts
Showing posts with label predictive network analysis. Show all posts

Jan 7, 2019

Why?



What can researchers in art market networks and looted art networks learn from the approach of Dr. Paul-Philippe Paré and his team at the Dept. of Sociology - Western University? Video: Multilevel Models for Social Network Analysis.

Question: Why did some in the art world continue to traffic in Nazi looted art after the defeat of the Nazis? 

Is there anything in the personal biographies or the networks of the individuals involved that social scientists could use to predict this behavior?


Scientists have employed social network analysis to understand the forces driving behaviours such as smoking and gun ownership. Could a similar approach offer insights into the behaviour of dealing in looted or otherwise ill-gotten artworks - in particular after the death of Hitler and the defeat of the Nazi regime?  

What are the drivers for this behaviour? Can predictors be isolated and identified? What might they be: economic situation, business ties, family ties, friendship ties, personality traits, previous looting activity, geographical location, memberships in organisations, age, marital status, profession, education, time period, certain life events, or other factors ? 

What might emerge as the key factors that separate those who decided to deal in looted art after 1945 and those who chose not to deal in looted art after 1945. 

How might one go about setting up a robust analysis?
What datasets would be needed?
What methods?
What competence?


No answers here. Just questions