Music Network Visualization by Dimiter Toshkov.
From the post:
My music interests have always been rather, hmm…, eclectic. Somehow IDM, ambient, darkwave, triphop, acid jazz, bossa nova, qawali, Mali blues and other more or less obscure genres have managed to happily co-exist in my music collection. The sheer diversity always invited the question whether there is some structure to the collection, or each genre is an island of its own. Sounds like a job for network visualization!
Now, there are plenty of music network viz applications on the web. But they don’t show my collection, and just seem unsatisfactory for various reasons. So I decided to craft my own visualization using R and igraph.
Interesting for the visualization but also the use of similarity measures.
The test for identity of a subject, particularly collective subjects, artists “similar” to X, is as unlimited as your imagination.