Sociopics are generated from social interactions harvested on social media (most of sociopics here are made from Twitter data). These videos make a focus on particular moment of our collective lives by showing the sonified interactions of social media accounts that discuss a particular topic or belong to some specific social groups.

In these videos, each social media account is represented by a coloured disc, and interactions between accounts (i.e. retweets) are represented by dynamic links.

An analysis of the global network is carried out to identify social groups, allowing accounts belonging to the same digital community to be given the same colour. The temporal activity of social groups is transformed into sound by assigning each intensity of activity a musical note and a duration, and assigning each social group an instrument or sound texture. The sound and image are then synchronised so that the dynamics can be both seen and heard.

Tools used to generate sociopics : programming languages (generation of the temporal graphs and conversion of communities activities into midi), DAW (for orchestration, generation of the soundtracks and mastering), Gephi (dynamics graph visualisation software), video capture software (to convert Gephi visualizations into video),  video editing tool (synchronization of sound and video ; video annotation).

Winner of the 2021 24 Hour Science Map Event organized by the Indiana University with the Sociopics on Vaccine dynamics.