Name
Abstract | ||
|---|---|---|
Dynamic networks naturally appear in a multitude of applications from different fields. Analyzing and exploring dynamic networks in order to understand and detect patterns and phenomena is challenging, fostering the development of new methodologies, particularly in the field of visual analytics. In this work, we propose a novel visual analytics methodology for dynamic networks, which relies on the... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVCG.2017.2746080 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Wavelet analysis,Visual analytics,Wavelet transforms,Data visualization,Tools,Network topology | Data mining,Graph,ENCODE,Large networks,Data visualization,Computer science,Visual analytics,Theoretical computer science,Network topology,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
24 | 8 | 1077-2626 |
Citations | PageRank | References |
3 | 0.40 | 24 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alcebiades Dal Col | 1 | 6 | 0.81 |
| Paola Valdivia | 2 | 8 | 4.91 |
| Fabiano Petronetto | 3 | 103 | 8.52 |
| Fabio Dias | 4 | 71 | 7.10 |
| Cláudio T. Silva | 5 | 5054 | 290.90 |
| Luis G. Nonato | 6 | 797 | 55.35 |