Name
Abstract | ||
|---|---|---|
Networks are typically visualized with force-based or spectral layouts. These algorithms lack reproducibility and perceptual uniformity because they do not use a node coordinate system. The layouts can be difficult to interpret and are unsuitable for assessing differences in networks. To address these issues, we introduce hive plots (http://www.hiveplot.com) for generating informative, quantitative and comparable network layouts. Hive plots depict network structure transparently, are simple to understand and can be easily tuned to identify patterns of interest. The method is computationally straightforward, scales well and is amenable to a plugin for existing tools. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/bib/bbr069 | BRIEFINGS IN BIOINFORMATICS |
Keywords | Field | DocType |
networks,visualization,bioinformatics,graphs,systems biology,computation | Coordinate system,Data mining,Computer science,Plug-in,Bioinformatics,Network structure | Journal |
Volume | Issue | ISSN |
13 | 5 | 1467-5463 |
Citations | PageRank | References |
46 | 2.03 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Krzywinski | 1 | 55 | 4.07 |
| İnanç Birol | 2 | 97 | 8.16 |
| Steven J. M. Jones | 3 | 578 | 71.55 |
| Marco A. Marra | 4 | 245 | 17.87 |