Abstract
In a variety of research and application areas graphs are an important structure for data modeling and analysis. While graph properties can have a crucial inuence on the performance of graph algorithms, and thus on the outcome of experiments, often only basic analysis of the graphs under investigation in an experimental evaluation is performed, and a few characteristics are reported in publications. We present Graph Landscape, a concept for the visual analysis of graph set properties. The Graph Landscape aims to support researchers to explore graphs and graph sets regarding their properties, in order to allow to select good experimental test sets, analyze newly generated sets, compare sets and assess the validity (or range) of experimental results and corresponding conclusions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th International Symposium on Visual Information Communication and Interaction (VINCI 2015) |
| Subtitle of host publication | Tokyo, Japan, 24-26 August 2015 |
| Editors | Paolo Bottoni, Shigeo Takahashi, Takayuki Itoh |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 42 - 51 |
| Number of pages | 10 |
| ISBN (Print) | 9781450334822 |
| DOIs | |
| Publication status | Published - 24 Aug 2015 |
| Event | International Symposium on Visual Information Communication and Interaction 2015 - Tokyo, Japan Duration: 24 Aug 2015 → 26 Aug 2015 Conference number: 8th https://dl.acm.org/doi/proceedings/10.1145/2801040 |
Conference
| Conference | International Symposium on Visual Information Communication and Interaction 2015 |
|---|---|
| Abbreviated title | VINCI 2015 |
| Country/Territory | Japan |
| City | Tokyo |
| Period | 24/08/15 → 26/08/15 |
| Internet address |
Keywords
- Analysis
- Graphs
- Multidimensional data
- Visualisation
Projects
- 1 Finished
-
Visualisation of large, complex networks through small, beautiful diagrams
Marriott, K. (Primary Chief Investigator (PCI)), Dwyer, T. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Schreiber, F. (Chief Investigator (CI)) & Wybrow, M. (Chief Investigator (CI))
ARC - Australian Research Council
1/08/14 → 30/06/20
Project: Research
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver