MuSeNet: Collaboration in the Music Artists Industry

Abstract

Motivated by the constantly growing interest and real-world applicability shown in social networks, we model and analyze the network formed by music artists all around the world, which we call MuseNet. Inspired by similar approaches, we compare our analytic results with generic online friendship models and with the collaboration networks of actors. We are the first to fully create such a network, and by using centrality measures, we discover the most influential nodes in MuseNet. In light of current advances in social networks, we also highlight the importance of music producers in terms of meritocracy versus topological positioning, and discuss the differentiation between collaboration networks using a network fidelity approach. Finally, we show that MuseNet has a characteristic sociability -- a measure which is introduced in this paper - in comparison with other empirical networks.