Attractivity of Tags by Artists at Last.fm
The visualization of a Last.fm dataset is based on the comparison of two music artists and their related tags. Through the attracitve force the tags are moving to the artist with a higher value of association.
The internet radio Last.fm is a well-known platform to enjoy his favored music taste. Every user has the possibility to enrich music artists, albums and tracks with specified tags to create a folksonomy. These data provide an ideal challenge to visualize the music artists with their related tags. The dataset were used from a public source musicmachinery.com. The goal was to visualize the similarities and differences between two music artists based on their number of tags.
As a result you can see the mainstream and individual characteristics of the two artists. Both artists Britney Spears and Nelly Furtado are associated with the tag â€śseen liveâ€ť in the same way. But some tags tend more to the right or left side and showing a stronger association to the related artist. Through the visualization it is easier to see the differences of the artists. In example the tag â€śdanceâ€ť is more associated with Britney Spears than Nelly Furtado.