| Literature DB >> 26005315 |
Charles D Stolper1, Minsuk Kahng1, Zhiyuan Lin1, Florian Foerster1, Aakash Goel1, John Stasko1, Duen Horng Chau1.
Abstract
The field of graph visualization has produced a wealth of visualization techniques for accomplishing a variety of analysis tasks. Therefore analysts often rely on a suite of different techniques, and visual graph analysis application builders strive to provide this breadth of techniques. To provide a holistic model for specifying network visualization techniques (as opposed to considering each technique in isolation) we present the Graph-Level Operations (GLO) model. We describe a method for identifying GLOs and apply it to identify five classes of GLOs, which can be flexibly combined to re-create six canonical graph visualization techniques. We discuss advantages of the GLO model, including potentially discovering new, effective network visualization techniques and easing the engineering challenges of building multi-technique graph visualization applications. Finally, we implement the GLOs that we identified into the GLO-STIX prototype system that enables an analyst to interactively explore a graph by applying GLOs.Entities:
Keywords: Graph-level operations; graph analysis; graph visualization; information visualization; visualization technique specification
Year: 2014 PMID: 26005315 PMCID: PMC4441222 DOI: 10.1109/TVCG.2014.2346444
Source DB: PubMed Journal: IEEE Trans Vis Comput Graph ISSN: 1077-2626 Impact factor: 4.579