  Visualisations are commonly used to understand social, biological and other
kinds of networks. Currently, we do not know how to effectively present network
data to people who are blind or have low-vision (BLV). We ran a controlled
study with 8 BLV participants comparing four tactile representations: organic
node-link diagram, grid node-link diagram, adjacency matrix and braille list.
We found that the node-link representations were preferred and more effective
for path following and cluster identification while the matrix and list were
better for adjacency tasks. This is broadly in line with findings for the
corresponding visual representations.
