The organization of music is one of the central challenges in times of increasing distribution of digital music. A well-tried means is the classification in genres and/or styles. In this paper we propose the use of text categorization techniques to classify artists present on the Internet. In particular, we retrieve and analyze webpages ranked by search engines to describe artists in terms of w...

We examined the entire network of creative artists that made Broadway musicals, in the post-War period, a collaboration network of international acclaim and influence, with an eye to investigating how the network’s structural features condition the relationship between individual artistic talent and the success of their musicals. Our findings show that some of the evolving topographical qualiti...

In this paper we tackle the problem of automatically assigning tags to music artists in the Web 2.0 radio Last.fm. We present a proof-of-concept method that, using a reference list of Last.fm user-defined tags, searches Wikipedia abstracts of music artists (only those written in English language) for new tag candidates. Tag candidates are ranked using an heuristic weighting function. We evaluat...

When artists and technologists collaborate, who is in control? Should technologists support the artists or should they be equal partners? In artist-in-residency studies, these have emerged as vital questions.