Unfolding Edges: Adding Context to Edges in Multivariate Graph Visualization
نویسندگان
چکیده
Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are constitutive elements networks, there have been only few attempts to visualize edges. In this work, we focus critical importance edge for interpreting network visualizations and building trust in underlying data. We propose ‘unfolding edges’ as an interactive approach integrate dynamically into existing node-link diagrams. Unfolding in-situ that gradually transforms basic links detailed representations associated attributes. This extends focus+context, semantic zoom, animated transitions accommodate details on-demand without cluttering overall graph layout. explore design space unfolding edges, which covers aspects making unfolding, actually context, navigating between To demonstrate utility our approach, present two case studies context historical analysis computational social science. For these, web-based prototypes were implemented based conducted interviews domain experts. The experts' feedback suggests proposed a useful tool exploring rich information graphs.
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ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2023
ISSN: ['1467-8659', '0167-7055']
DOI: https://doi.org/10.1111/cgf.14831