URL: https://ornl.github.io/PDnetwork/
This tool allows users to visualize and analyze the evolution of the peridynamics co-authorship network. Each node represents a scientist, and links connect scientists who have co-authored publications. Click here to learn how to use PDnetwork.
If you use PDnetwork in your work, please cite the Zenodo release.
B. Dahal, P. Seleson, and J. Trageser, The evolution of the peridynamics co-authorship network, Journal of Peridynamics and Nonlocal Modeling 5 (2023): 311-355. https://doi.org/10.1007/s42102-022-00082-5 (Springer, view-only version).
B. Dahal and P. Seleson, The evolution of the peridynamics community in its first quarter century, Journal of Peridynamics and Nonlocal Modeling 8 (2026): 11. https://doi.org/10.1007/s42102-026-00146-w (Springer, view-only version).
Data from Scopus, Copyright Elsevier (2026). The data has been obfuscated for posting on GitHub (src/publications.json and src/nodeinfo.json) and is decoded in the browser.
The data can be generated from a Scopus export with the columns af, si, ti, and py by running
npm run build-data -- path/to/data.csv
followed by
npm run build-nodeinfo -- --force
to compute the node layout for the new data (requires Python with packages, run python -m pip install -r scripts/requirements.txt to install the dependencies).
To build the website, install Node.js and npm, and first install the dependencies by running
npm install.
Then, to build the static files from source, run
npm run build.
This will create the website in the dist/ folder.
PDnetwork is distributed under a BSD 3-Clause license.