RTVis: Research Trend Visualization Toolkit
July 19, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Xingyu Shen, Yueqian Lin, Zhixian Zhang, Xin Tong
arXiv ID
2307.10162
Category
cs.HC: Human-Computer Interaction
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
When researchers are about to start a new project or have just entered a new research field, choosing a proper research topic is always challenging. To help them have an overall understanding of the research trend in real-time and find out the research topic they are interested in, we developed the Research Trend Visualization toolkit (RTVis) to analyze and visualize the research paper information. RTVis consists of a field theme river, a co-occurrence network, a specialized citation bar chart, and a word frequency race diagram, showing the field change through time, cooperating relationship among authors, paper citation numbers in different venues, and the most common words in the abstract part respectively. Moreover, RTVis is open source and easy to deploy. The demo of our toolkit and code with detailed documentation are both available online.
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