If the mapping is a phenomenon that affects the display of the data, apply it to the musical similarities between different authors has consequences far more delicate, creating aesthetic bilateral connections between hundreds of expressive entities. Music-Map of Marek Gibney makes use of sophisticated algorithms Amazon . com to draw upon request, a map of the groups associated by similarity, drawing from the mammoth sales volumes of the portal, a graphical representation of the associations implemented by the consumers themselves. Compared to the similar task performed by Audioscrobbler , or to search the Music Genome Project , or the empirical sampling carried out by the thousand volunteer users' ears of the radio station Last.fm , here the slow unraveling of names, where the similarity between them is greater the more they are neighbors, reveals an intricate universe of consumption that can independently define the areas of expression to which it refers. The taxonomy of the genera dissolves in the statistical analysis of the individual tastes and associations made by the critics are buried by one, however, extremely reliable web purchases. The keywords are then nodes access to a huge and invisibly structured map to genres in its ethereal areas belongs to (re) classification continuously original sound compositions.