Creative influence prediction using graph theory
What is it about?
This work analyzes the social network of artists by considering their friends, mentors, pupils, and so on. This information to predict whether an artist is influential for another artist. Artists with common connections are more likely to be exposed to each other, which has a high likelihood of resulting in (mutual) artistic influence.
Why is it important?
Previous research has shown that artistic success is tightly connected to the social network of the artist and its influences. It is hard to obtain information on artistic influence, as it is generally the result of a subjective analysis. Being able to propose a list of possible artistic influences by only considering objective information (the social network of an artist) enables scholars and music enthusiasts to explore artists from a completely different perspective.