  Propelled by the increasing availability of large-scale high-quality data,
advanced data modeling and analysis techniques are enabling many novel and
significant scientific understanding of a wide range of complex social,
natural, and technological systems. These developments also provide
opportunities for studying cultural systems and phenomena -- which can be said
to refer to all products of human creativity and way of life. An important
characteristic of a cultural product is that it does not exist in isolation
from others, but forms an intricate web of connections on many levels. In the
creation and dissemination of cultural products and artworks in particular,
collaboration and communication of ideas play an essential role, which can be
captured in the heterogeneous network of the creators and practitioners of art.
In this paper we propose novel methods to analyze and uncover meaningful
patterns from such a network using the network of western classical musicians
constructed from a large-scale comprehensive Compact Disc recordings data. We
characterize the complex patterns in the network landscape of collaboration
between musicians across multiple scales ranging from the macroscopic to the
mesoscopic and microscopic that represent the diversity of cultural styles and
the individuality of the artists.
