Name
Abstract | ||
|---|---|---|
This special issue of Information Visualization explores the technical challenges and technology development opportunities of graph visual analytics arising from the trend of big data. Big graph visual analytics is about applying visualization and analytics techniques to gather, analyze, and understand big graphs and the knowledge behind them. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1177/1473871616679013 | INFORMATION VISUALIZATION |
Keywords | Field | DocType |
Visual analytics, visualization, web-scale graph, big graph, High Performance Computing (HPC) | Data science,Technology development,Graph,Computer vision,Information visualization,Visualization,Computer science,Visual analytics,Artificial intelligence,Analytics,Big data | Journal |
Volume | Issue | ISSN |
16 | 3 | 1473-8716 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David J. Haglin | 1 | 112 | 19.45 |
| David Trimm | 2 | 1 | 0.37 |
| Pak Chung Wong | 3 | 876 | 75.57 |