Title: LG-covid19-HOTP: Literature Graph of Scholarly Articles Relevant to COVID-19 Study

Type Dataset Floros, Dimitris, Pitsianis, Nikos, Sun, Xiaobai (2020): LG-covid19-HOTP: Literature Graph of Scholarly Articles Relevant to COVID-19 Study. Zenodo. Dataset. https://zenodo.org/record/3756597

Authors: Floros, Dimitris (Aristotle University of Thessaloniki) ; Pitsianis, Nikos (Aristotle University of Thessaloniki, Duke University) ; Sun, Xiaobai (Duke University) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Parallel to the dataset CORD-19 of scholarly articles, we provide the literature graph LG-covid19-HOTP composed of not only articles (graph nodes) that are relevant to the study of coronavirus, but also in and out citation links (directed graph edges) to base navigation and search among the articles. The article records are related and connected, not isolated. The graph has been updated weekly since March 26, 2020. The current graph includes 3,870 hot-off-the-press (HOTP) articles since January 2020. It contains 109,386 articles and 958,043 links. The link-to-node ratio is remarkably higher than some other existing literature graphs. In addition to the dataset we provide more functionalities at lg-covid-19-hotp.cs.duke.edu such as new articles, weekly meta-data analysis in terms of publication growth over time, ranking by citation, and statistical near-neighbor embedding maps by similarity in co-citation, and similarity in co-reference. Since April 11, we have enabled a novel functionality - self-navigated surf-search over the maps. At the site we also take courtesy input of COVID-19 articles that are missing from the current collection.

More information

• DOI: 10.5281/zenodo.3756597

Dates

• Publication date: 2020
• Issued: April 16, 2020

Notes

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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