Scientific Convergence and Divergence in Visualization and Visual Analytics
Abstract
We present preliminary results of a visualization tool designed to visualize scientific evolution by using scientific publication data, especially convergence-divergence processes. It aims to increase the efficiency and accuracy of our understanding of scientific knowledge in a certain field with limited domain knowledge. We visualized 2,435 papers published in IEEE VIS and EuroVis to demonstrate the tool and provide a big picture of the scientific evolution in the visualization community.
BibTeX
@inproceedings {10.2312:evp.20221105,
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Scientific Convergence and Divergence in Visualization and Visual Analytics}},
author = {He, Jiangen},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221105}
}
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Scientific Convergence and Divergence in Visualization and Visual Analytics}},
author = {He, Jiangen},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221105}
}
Collections
Except where otherwise noted, this item's license is described as Attribution 4.0 International License