Revised version appeared in IEEE Transactions on Visualization and Computer Graphics, 20, 3 (2014) 365-376
Visualization has proven to be a useful tool for understanding network structures. However the dynamic nature of
social media networks requires powerful visualization techniques that go beyond static network diagrams. In order to provide
strong temporal network visualization tools, designers need to understand what tasks that users have to accomplish. This paper
describes a taxonomy of temporal network visualization tasks. We identify the (1) entities, (2) properties, and (3) a hierarchy
of temporal features, which were extracted by surveying 44 existing temporal network visualization systems. By building and
examining the task taxonomy, we report which tasks are well covered by existing systems and make suggestions for designing
future visualization tools. The feedback from 9 network analysts helped refine the taxonomy.