| 13188 |
Creator |
346e7c250ea1e999b0ae8be85c1ce8c6 |
| 13188 |
Creator |
ext-1c0308260aa3d35f0f96c97a62d16e32 |
| 13188 |
Creator |
ext-371cf214a4abbca309f8da86726c8305 |
| 13188 |
Date |
2006 |
| 13188 |
Date |
2006 |
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Is Part Of |
repository |
| 13188 |
Is Part Of |
p14738716 |
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abstract |
Adjacency matrices or DSMs (design structure matrices) and node-link diagrams are
both visual representations of graphs, which are a common form of data in many disciplines.
DSMs are used throughout the engineering community for various applications, such
as process modelling or change prediction. However, outside this community, DSMs (and
other matrix-based representations of graphs) are rarely applied and node-link diagrams
are very popular. This paper will examine, which representation is more suitable for
visualising graphs. For this purpose, several user experiments were conducted that
aimed to answer this research question in the context of product models used, for
example in engineering, but the results can be generalised to other applications.
These experiments identify key factors on the readability of graph visualisations
and confirm work on comparisons of different representations. This study widens the
scope of readability comparisons between node-link and matrix-based representations
by introducing new user tasks and replacing simulated, undirected graphs with directed
ones employing real-world semantics. |
| 13188 |
abstract |
Adjacency matrices or DSMs (design structure matrices) and node-link diagrams are
both visual representations of graphs, which are a common form of data in many disciplines.
DSMs are used throughout the engineering community for various applications, such
as process modelling or change prediction. However, outside this community, DSMs (and
other matrix-based representations of graphs) are rarely applied and node-link diagrams
are very popular. This paper will examine, which representation is more suitable for
visualising graphs. For this purpose, several user experiments were conducted that
aimed to answer this research question in the context of product models used, for
example in engineering, but the results can be generalised to other applications.
These experiments identify key factors on the readability of graph visualisations
and confirm work on comparisons of different representations. This study widens the
scope of readability comparisons between node-link and matrix-based representations
by introducing new user tasks and replacing simulated, undirected graphs with directed
ones employing real-world semantics. |
| 13188 |
authorList |
authors |
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issue |
1 |
| 13188 |
issue |
1 |
| 13188 |
status |
peerReviewed |
| 13188 |
volume |
5 |
| 13188 |
volume |
5 |
| 13188 |
type |
AcademicArticle |
| 13188 |
type |
Article |
| 13188 |
label |
Keller, René; Eckert, Claudia M. and Clarkson, John P. (2006). Matrices or node-link
diagrams: which visual representation is better for visualising connectivity models?
Information Visualization, 5(1) pp. 62–76. |
| 13188 |
label |
Keller, René; Eckert, Claudia M. and Clarkson, John P. (2006). Matrices or node-link
diagrams: which visual representation is better for visualising connectivity models?
Information Visualization, 5(1) pp. 62–76. |
| 13188 |
Title |
Matrices or node-link diagrams: which visual representation is better for visualising
connectivity models? |
| 13188 |
Title |
Matrices or node-link diagrams: which visual representation is better for visualising
connectivity models? |
| 13188 |
in dataset |
oro |