“…We extended this also to arts. In the recent years we have seen an increase in large-scale quantitative studies of art, for example the attempts to measure and predict artistic success (Liu et al, 2018 ; Fraiberger, Sinatra, Resch, Riedl, & Barabási, 2018 ; Interiano et al, 2018 ) to detect significant trends in art history (Cutting, Brunick, DeLong, Iricinschi, & Candan, 2011 ; Mauch, MacCallum, Levy, & Leroi, 2015 ), or to uncover the internal patterns of art works (Elliott, 2016 ; Reagan, Mitchell, Kiley, Danforth, & Dodds, 2016 ). However, a major limitation of such studies is the data-driven approach they are often using.…”