RCAnalyzer: visual analytics of rare categories in dynamic networks-Reference-Cited by-同舟云学术

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RCAnalyzer: visual analytics of rare categories in dynamic networks

Published:2020-04 Issue:4 Volume:21 Page:491-506
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Pan Jia-cheng^ORCID,Han Dong-ming,Guo Fang-zhou,Zhou Da-wei,Cao Nan,He Jing-rui,Xu Ming-liang,Chen Wei^ORCID

Funder

National Natural Science Foundation of China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1631/FITEE.1900310.pdf

Reference55 articles.

1. Archambault D, Purchase H, Pinaud B, 2011. Animation, small multiples, and the effect of mental map preservation in dynamic graphs. IEEE Trans Vis Comput Graph, 17(4):539–552. https://doi.org/10.1109/TVCG.2010.78

2. Bach B, Pietriga E, Fekete JD, 2014a. GraphDiaries: animated transitions and temporal navigation for dynamic networks. IEEE Trans Vis Comput Graph, 20(5):740–754. https://doi.org/10.1109/TVCG.2013.254

3. Bach B, Pietriga E, Fekete JD, 2014b. Visualizing dynamic networks with matrix cubes. SIGCHI Conf on Human Factors in Computing Systems, p.877–886. https://doi.org/10.1145/2556288.2557010

4. Bach B, Henry-Riche N, Dwyer T, et al., 2015. Small MultiPiles: piling time to explore temporal patterns in dynamic networks. Comput Graph Forum, 34(3):31–40. https://doi.org/10.1111/cgf.12615

5. Beck F, Burch M, Diehl S, et al., 2014. The state of the art in visualizing dynamic graphs. Eurographics Conf on Visualization, p.1–21. https://doi.org/10.2312/eurovisstar.20141174

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