Not logged in.
Quick Search - Contribution
Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | No |
| Title | Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis |
| Organization Unit | |
| Authors |
|
| Presentation Type | speech |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
|
| Page Range | 533–534 |
| Event Title | Companion Proceedings of the Web Conference 2021 |
| Event Type | workshop |
| Event Location | Ljubljana Slovenia |
| Event Start Date | January 1 - 2021 |
| Event End Date | January 1 - 2021 |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery |
| Abstract Text | The visual analysis of temporal network data is often hindered by the cognitively demanding nature of dynamic graphic visualizations. Addressing this issue, the graph visualization tool HOTVis generates time-aware static network visualizations that highlight the causal topology of temporal networks, i.e. which nodes can directly and indirectly influence each other, and are thus considerably easier to interpret than state-of-the-art dynamic graph visualizations. |
| Export |
BibTeX
EP3 XML (ZORA)
|