A hypergraph model for representing scientific output

Rodica Ioana Lung, Noémi Gaskó () and Mihai Alexandru Suciu
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Rodica Ioana Lung: Babeş-Bolyai University
Noémi Gaskó: Babeş-Bolyai University
Mihai Alexandru Suciu: Babeş-Bolyai University

Scientometrics, 2018, vol. 117, issue 3, No 3, 1379 pages

Abstract: Abstract Representation and analysis of publication data in the form of a network has become a common method of illustrating and evaluating the scientific output of a group or of a scientific field. Co-authorship networks also reveal patterns and collaboration practices. In this paper we propose the use of a hypergraph model—a generalized network—to represent publication data by considering papers as hypergraph nodes. Hyperedges, connecting the nodes, represent the authors connecting all their papers. We show that this representation is more straightforward than other authorship network models. Using the hypergraph model we propose a collaboration measure of an author that reflects the influence of that author over the collaborations of its co-authors. We illustrate the introduced concepts by analyzing publishing data of computer scientists and mathematicians in Romania over a 10 year period.

Keywords: Co-authorship network; Paper network; Hypergraph model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-018-2908-2

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