This research explores how sonic features can be used to represent network data structures that define relationships between elements. Through a set of pilot studies, it presents initial findings on the ability of users to understand, decipher, and re-create sound representations to support primary network tasks such as counting the number of elements in a network, identifying connections between nodes, determining the relative weight of connections between nodes, and recognizing which category an element belongs to.
The accompanying paper was published in the 2019 proceeding of the International Conference on Audio Display (ICAD) and can be downloaded here: Network Sonifcation