coauth-dblp

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Authors: Nicholas Landry
Cited by: 0

Abstract

Overview This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication recorded on DBLP. Timestamps are the year of publication. Some basic statistics of this dataset are: number of nodes: 1,924,991 number of timestamped hyperedges: 3,700,067 number of unique hyperedges: 2,599,087 Changelog v0.2: Changed the format to HIF v0.1: fixed year format with PR #32 https://github.com/xgi-org/xgi-data/pull/32 v0: initial version Source of original data https://www.cs.cornell.edu/~arb/data/coauth-DBLP/ References If you use this data, please cite the following paper: Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

Fields of Study & Subjects

Chemistry and Stereochemistry Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 August 2026
Language
EN
Document type
Dataset