May, Thorsten ; Steiger, Martin ; Davey, James ; Kohlhammer, Jörn (2012)
Using Signposts for Navigation in Large Graphs.
In: Computer Graphics Forum, 31 (3)
doi: 10.1111/j.1467-8659.2012.03091.x
Article
Abstract
In this paper we present a new Focus & Context technique for the exploration of large, abstract graphs. Most Focus & Context techniques present context in a visual way. In contrast, our technique uses a symbolic representation: while the focus is a set of visible nodes, labelled signposts provide cues for the context - off-screen regions of the graph - and indicate the direction of the shortest path linking the visible nodes to these regions. We show how the regions are defined and how they are selected dynamically, depending on the visible nodes. To define the set of visible nodes we use an approach developed by van Ham and Perer that dynamically extracts a subgraph based on an initial focal node and a degree-of-interest function. This approach is extended to support multiple focal nodes. With the symbolic visualization, potentially interesting regions of a graph may be represented with a very small visual footprint. We conclude the paper with an initial user study to evaluate the effectiveness of the signposts for navigation tasks.
Item Type: | Article |
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Erschienen: | 2012 |
Creators: | May, Thorsten ; Steiger, Martin ; Davey, James ; Kohlhammer, Jörn |
Type of entry: | Bibliographie |
Title: | Using Signposts for Navigation in Large Graphs |
Language: | English |
Date: | 2012 |
Journal or Publication Title: | Computer Graphics Forum |
Volume of the journal: | 31 |
Issue Number: | 3 |
DOI: | 10.1111/j.1467-8659.2012.03091.x |
Abstract: | In this paper we present a new Focus & Context technique for the exploration of large, abstract graphs. Most Focus & Context techniques present context in a visual way. In contrast, our technique uses a symbolic representation: while the focus is a set of visible nodes, labelled signposts provide cues for the context - off-screen regions of the graph - and indicate the direction of the shortest path linking the visible nodes to these regions. We show how the regions are defined and how they are selected dynamically, depending on the visible nodes. To define the set of visible nodes we use an approach developed by van Ham and Perer that dynamically extracts a subgraph based on an initial focal node and a degree-of-interest function. This approach is extended to support multiple focal nodes. With the symbolic visualization, potentially interesting regions of a graph may be represented with a very small visual footprint. We conclude the paper with an initial user study to evaluate the effectiveness of the signposts for navigation tasks. |
Uncontrolled Keywords: | Business Field: Visual decision support, Research Area: Generalized digital documents, Graph visualization, Navigation, Visual design |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
Date Deposited: | 12 Nov 2018 11:16 |
Last Modified: | 12 Nov 2018 11:16 |
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