Title :
Generating Graphs for Visual Analytics through Interactive Sketching
Author :
Wong, P.C. ; Foote, H. ; Mackey, P. ; Perrine, K. ; Chin, G.
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA
Abstract :
We introduce an interactive graph generator, GreenSketch, designed to facilitate the creation of descriptive graphs required for different visual analytics tasks. The human-centric design approach of GreenSketch enables users to master the creation process without specific training or prior knowledge of graph model theory. The customized user interface encourages users to gain insight into the connection between the compact matrix representation and the topology of a graph layout when they sketch their graphs. Both the human-enforced and machine-generated randomnesses supported by GreenSketch provide the flexibility needed to address the uncertainty factor in many analytical tasks. This paper describes more than two dozen examples that cover a wide variety of graph creations from a single line of nodes to a real-life small-world network that describes a snapshot of telephone connections. While the discussion focuses mainly on the design of GreenSketch, we include a case study that applies the technology in a visual analytics environment and a usability study that evaluates the strengths and weaknesses of our design approach
Keywords :
data visualisation; graph theory; interactive systems; matrix algebra; user centred design; user interfaces; compact matrix representation; customized user interface; data visualization; descriptive graph; graph model theory; human-centric design; interactive graph generator; interactive sketching; topology; visual analytics task; Algorithm design and analysis; Routing protocols; Telephony; Testing; Topology; Uncertainty; Usability; User interfaces; Visual analytics; Visualization; Data and knowledge visualization; graphs and networks.; information visualization; visualization techniques and methodologies; Algorithms; Computer Graphics; Computer Simulation; Information Storage and Retrieval; Pattern Recognition, Automated; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2006.91