While innovation is crucial for novel and influential achievements, quantifying these qualities in creative works remains a challenge. An information-theoretic framework for computing the novelty and influence of creative works based on their generation probabilities reflects the degree of uniqueness of their elements in comparison with other works.
Applying this formalism to a high-quality, large-scale data set of classical piano compositions–works of significant scientific and intellectual value–spanning several centuries of musical history, represented as symbolic progressions of chords, a study found that the enterprise’s developmental history can be characterized as a dynamic process composed of the emergence of dominant, paradigmatic creative styles that define distinct historical periods. These findings can offer a new understanding of the evolution of creative enterprises based on principled measures of novelty and influence.
This according to “Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks” by Doheum Park, Juhan Nam, and Juyong Park (EPJ data science IX/2 ).
Above, two illustrations from the article (click to enlarge); below, Chopin’s prelude in A Major, op. 28, no.7, which provides the basis for the second illustration.