MusX: Online Exploring and Visualizing Graph-Based Musical Adaptations

This paper introduces MusX, a visualization-based system that helps to search and explore a large multivariate bipartite graph of artists and songs. An additional tree structure for the song nodes is also inherited from the musical adaptation relations. In tight collaboration with a public national library and archives institution, we propose a novel artist-centered interactive set of representations, focusing on several identified user tasks. This online system is targeted towards laypersons, willing to quickly navigate artists' body of songs and explore their relationships to other artists through their implication in song creation. In this paper, we present a detailed description of MusX along with design and technical considerations, and the demonstration scenarios we intend to present to the audience.