We have been exploring how visualisations can illustrate over time how users comment on tracks in SoundCloud. Commenting has been highlighted in our qualitative research as a way of building relationships and showing appreciation of other musicians’ work. In fact, initial inspection of a sample set of comments is showing that most comments in our samples tend to be positive or constructive, rather than overly critical or negative.
We have created two visualisations:
These visualisations are based on data taken from a snowball sample of 1000 SoundCloud users, selected because they are interacting with each other in some way (commenting on each other’s tracks, following other users in the sample, liking other’s tracks, etc).
The circles are music tracks that users have uploaded to the SoundCloud music social networking site.
When a user adds a track, this is shown by a green flash between the user avatar and the circle representing the track.
When a user comments on a track, this is shown by a yellow/orange flash between the avatar and the track circle.
Groups of track circles clustered together represent where one user has uploaded multiple tracks to SoundCloud.
To see more, come to our free public event on 6 June!
The visualisations are generated using Gource.
The sample data are collected from the SoundCloud API using code on our github repository (our github repository is also listed on our Links page).
The videos have been created using Open Broadcast Software and Fraps.