The Design Space of Temporal Graph Visualisation
Chalmers, K. (2014). The Design Space of Temporal Graph Visualisation. In: Elmqvist, N.,
Kennedy, J. (Eds.) Proceedings of the 18th Eurographics Conference on Visualization (EuroVis '14), Short Papers Track, () ( ed.). (pp. ). Swansea: . Eurographics Assocation.
This paper presents our work in mapping the design space of techniques for temporal graph visualisation. We identify two independent dimensions upon which the techniques can be classified: graph structural encoding and temporal encoding. Based on these dimensions, we create a matrix into which we organise existing techniques. We identify gaps in this design space which may prove interesting opportunities for the development of novel techniques. We also consider additional dimensions on which further useful classification could be made. In organising the disparate existing approaches from a wide range of domains, our classification will assist those new to the research area, and designers and evaluators developing systems for temporal graph data by raising awareness of the range of possible approaches available, and highlighting possible directions for further research.
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Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data. Pages of text and numbers are not the most effective way to communicate or understand information.