Music can be visualized as a graph. While there are many ways to do that, one of the possibilities is to represent the notes (and octaves) as the nodes and their co-occurrences as the connections between them. This representation allows us to reveal patterns in our composition and to use the powerful graph theory algorithms to uncover interesting insights about the structure of the music we’re playing.
Posted by Nodus Labs | April 20, 2019
The origin of the word “text” is from the Latin “texere”, “to weave”. When we write text, we are weaving together the different threads of meaning to produce a coherent whole. Network analysis allows us to see patterns in this totality, to see both the whole woven garment and the (meaning) threads within.
Posted by Nodus Labs | January 5, 2019
A detailed account of our presentation and workshop at CCC 35C3 hacker conference where we proposed a new kind of software for the body based on the patterns of movement and physical interaction — and its implications for the development of AI.
Posted by Nodus Labs | September 9, 2018
In this workshop, conducted in collaboration with Nike Lab x Matthew Williams and ∞OS, we created a live interactive environment to stimulate cross-contextual learning and creativity among the participants. In this work we used text-to-network visualization tool, live space tracking, sonic queues and body-heatmaps to provide actionable live feedback to the workshop’s participants.
Posted by Nodus Labs | September 7, 2018
Text network visualizations are most often used to study and analyze data. However, how can an analytical tool become a musical instrument and what are the implications of that, both for the research process and for the creative work?