Visualize joint publications with your coauthors. Storyline visualizations show interactions between a given set of characters over time. Each character is represented by an x-monotone curve. A meeting among characters requires the corresponding curves to form a continuous block. Therefore, character curves may have to cross each other.
Publines uses data from dblp.org to build storylines where the characters are authors and the meetings are joint publications. We are especially interested in visualizing a group of colleagues centered around an author, the protagonist, who participates in all selected publications.
Play with our demo instance.
Publines is a React webapp written in TypeScript and provides a webpack build script. When building it yourself the only prerequisite is npm.
Download the repository and run
npm install
in order to download the required dependencies.
Then run
npm run build
to create a production build.
The resulting artifacts can be found in the ./build directory. You may host
these locally for testing for example using the python webserver:
cd ./build
python3 -m http.server
The publines website shows a small imprint banner at the bottom of the page.
You can customize this by providing an imprint.csv file at the top level
of your publines distribution. Every entry in the imprint banner is a triple
of an optional logo url, some text, and an optional link target:
./path/to/my/logo.svg,Example Organization,https://example.org
,additional notes (not a link),
Most of the algorithms are described in an upcoming publication at GD2024.
This library has been developed by the algorithms and complexity group, University of Würzburg, Germany.
For contact, you can write an email to hegemann *at* informatik *dot* uni-wuerzburg *dot* de.