The user-generated content platforms like MySpace, YouTube or Flickr produce emergent sociability patterns and behaviors, which are well observed in various studies. Few of them deal with the nature of the reputation in these large social networks. In this work, we extract a sample of MySpace Music by parsing the artists’ pages and following the “best friend” links. The study of the network sho...

In this paper we introduce MusicianMap, a web-based interactive tool for visualizing relationships among popular musicians who have released recordings since 1950. MusicianMap accepts search terms from the user, and in turn uses these terms to retrieve data from MusicBrainz.org and AudioScrobbler.net, and visualizes the results. MusicianMap visualizes relationships of various kinds between musi...

This handsomely printed and profusely illustrated book provides insight into the complex processes involved in illustrating British periodicals of " The Sixties " —that is, the period roughly from 1855 to the mid-1870s. Published to entertain and instruct middle-class readers, periodicals of this period contained serialized novels along with historical pieces, poetry, and articles of general in...

I quantify the relationship between private–network file sharing activity and album sales in the BitTorrent era using a panel of 2,109 albums’ U.S. sales and file sharing downloads during 2008. Exogenous shocks to file sharing capacity address the simultaneity problem. In theory, piracy could crowd out sales by building file sharing capacity or increase them through word of mouth. I find eviden...

We provide a new perspective on the impact of unauthorized copying and copy levies on artistic creation. Our analysis emphasizes three important aspects of artistic markets: the predominance of superstars, the dynamics of talent sorting, and the importance of promotion expenditures. In the short run, piracy reduces superstars’ earnings and market share, and increases the number of niche and you...

MusicSun is a graphical user interface to discover artists. Artists are recommended based on one or more artists selected by the user. The recommendations are computed by combining 3 different aspects of similarity. The users can change the impact of each of these aspects. In addition words are displayed which describe the artists selected by the user. The user can select one of these words to ...

OBJECTIVE Artwork and psychiatric disorders are often linked. Accomplished artists with psychiatric disorders express themselves and their emotional distress through their works, and art therapists use the visual arts to help clients understand their problems and cope with them. There have been a number of psychiatric patients with no previous art training who produced artwork that many conside...

The aim of this research is to develop a system to support video artists. Design rationales of software for artists should be obtained through investigating artists' practice. In this study, we have analysed the process of making a video sequence in collaboration with an experienced video artist. Based on this analysis we identified design rationales for a system to support the process of makin...

In this paper we present a method for automatically assigning tags to music artists in the Web 2.0 radio Last.fm. Starting with the reference list of Last.fm user-defined tags, our method mines Wikipedia music artist abstracts for new tag candidates. Tag candidates are ranked using an heuristic weighting function. We evaluate the top ranked tag suggestion for about 31,000 artists by (i) perform...