A graph-specific visualization consists of Nodes, Links, Paths, Graphs, Connected Components, Clusters, and Groups. This paper discussed the possible tasks to examine the tool based on the given objects.
The low-level tasks, included:
- Retrieve value
- Filter
- Compute the Derived Value
- Find Extremum
- Sort
- Determine Range
- Characterize Distribution
- Find Anomalies
- Cluster
- Correlate
Tasks which commonly encountered while analyzing graph data:
- Topology-based Tasks: adjacency (direct connection), accessibility (direct or indirect connection), common connection, connectivity
- Attribute-based Tasks: On the Nodes, On the Links
- Browsing Tasks: Follow path, Revisit
Some more high-level tasks:
- compare two web graph for the difference, e.g. two recipe graph.
- nodes duplication
- some tasks need users' interpretation
- Lee, Bongshin, et al. "Task taxonomy for graph visualization." Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization. ACM, 2006.
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