Journal article 918 views 325 downloads
Event-Based Dynamic Graph Visualisation
,
Stephen G. Kobourov
IEEE Transactions on Visualization and Computer Graphics, Pages: 1 - 1
Swansea University Author:
Daniel Archambault
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DOI (Published version): 10.1109/TVCG.2018.2886901
Abstract
Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed algorithms can exploit to compute a layout. However, often dynamic graphs are expressed as a series of events where the nodes and edges have real coordinates along the time dimension that are not conf...
| Published in: | IEEE Transactions on Visualization and Computer Graphics |
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| ISSN: | 1077-2626 1941-05062160-9306 |
| Published: |
2018
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa47911 |
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| Abstract: |
Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-directed algorithms can exploit to compute a layout. However, often dynamic graphs are expressed as a series of events where the nodes and edges have real coordinates along the time dimension that are not confined to discrete timeslices. Current techniques for dynamic graph drawing impose a set of timeslices on this event-based data in order to draw the dynamic graph, but it is unclear how many timeslices should be selected: too many timeslices slows the computation of the layout, while too few timeslices obscures important temporal features, such as causality. To address these limitations, we introduce a novel model for drawing event-based dynamic graphs and the first dynamic graph drawing algorithm, DynNoSlice, that is capable of drawing dynamic graphs in this model. DynNoSlice is an offline, force-directed algorithm that draws event-based, dynamic graphs in the space-time cube (2D+time). We also present a method to extract representative small multiples from the space-time cube. To demonstrate the advantages of our approach, DynNoSlice is compared with state-of-the-art timeslicing methods using a metrics-based experiment. Finally, we present case studies of event-based dynamic data visualised with the new model and algorithm. |
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| Keywords: |
Information Visualisation, Graph Drawing, Dynamic Graphs, Event-Based Analytics, No Timeslices. |
| College: |
Faculty of Science and Engineering |
| Funders: |
UKRI, EP/N005724/1 |
| Start Page: |
1 |
| End Page: |
1 |