Abstract
We use data from a study of three different graph depictions: node-link, centered matrix, and quilts to explore how pathfinding time is influenced by the graph structure, measured by the number of nodes, links, skips and layers. We use regressions to determine the influence of these attributes. Furthering this idea, we begin to explore how individual users navigate through graphs.
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Christensen, J., Bae, J.H., Watson, B., Rappa, M. (2014). Understanding Which Graph Depictions Are Best for Viewers. In: Christie, M., Li, TY. (eds) Smart Graphics. SG 2014. Lecture Notes in Computer Science, vol 8698. Springer, Cham. https://doi.org/10.1007/978-3-319-11650-1_17
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DOI: https://doi.org/10.1007/978-3-319-11650-1_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11649-5
Online ISBN: 978-3-319-11650-1
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