GraphInterpreter: a visual analytics approach for dynamic networks evolution exploration via topic models
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12650-024-00993-z.pdf
Reference35 articles.
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2. Bach B, Pietriga E, Fekete J-D (2014) Graphdiaries: animated transitions and temporal navigation for dynamic networks. IEEE Trans Visual Comput Graphics 20(5):740–754. https://doi.org/10.1109/tvcg.2013.254
3. Beck F, Burch M, Diehl S, Weiskopf D (2014) The state of the art in visualizing dynamic graphs. EuroVis STAR. https://doi.org/10.2312/eurovisstar.20141174
4. Beck F, Burch M, Diehl S, Weiskopf D (2016) A taxonomy and survey of dynamic graph visualization. In: Computer graphics forum, vol 36, pp 133–159. Wiley Online Library, 2016. https://doi.org/10.1111/cgf.12791
5. Blei DM, Ng AY, Jordan MI (2002) Latent Dirichlet allocation. J Mach Learn Res 3:2003
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