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Relational hyperevent models for the coevolution of coauthoring and citation networks

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2024

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Hâncean, Marian-Gabriel
Lomi, Alessandro

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Deutsche Forschungsgemeinschaft (DFG): 321869138
Swiss National Science Foundation: 100013_192549

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Published

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Journal of the Royal Statistical Society Series A : Statistics in Society. Oxford University Press. ISSN 0964-1998. eISSN 1467-985X. Verfügbar unter: doi: 10.1093/jrsssa/qnae068

Zusammenfassung

The development of appropriate statistical models has lagged behind the ambitions of empirical studies analysing large scientific networks—systems of publications connected by citations and authorship. Extant research typically focuses on either paper citation networks or author collaboration networks. However, these networks involve both direct relationships, as well as broader dependencies between references linked by multiple citation paths. In this work, we extend recently developed relational hyperevent models to analyse networks characterized by complex dependencies across multiple network modes. We introduce new covariates to represent theoretically relevant and empirically plausible mixed-mode network configurations. This model specification allows testing hypotheses that recognize the polyadic nature of publication data, while accounting for multiple dependencies linking authors and references of current and prior papers. We implement the model using open-source software to analyse publicly available data on a large scientific network. Our findings reveal a tendency for subsets of papers to be cocited, indicating that the impact of these papers may be partly due to endogenous network processes. More broadly, the analysis shows that models accounting for both the hyperedge structure of publication events and the interconnections between authors and references significantly enhance our understanding of the mechanisms driving scientific production and impact.

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Fachgebiet (DDC)
004 Informatik

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citation networks, coauthoring networks, network dynamics, relational event models, hypergraphs, science of science

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ISO 690LERNER, Jürgen, Marian-Gabriel HÂNCEAN, Alessandro LOMI, 2024. Relational hyperevent models for the coevolution of coauthoring and citation networks. In: Journal of the Royal Statistical Society Series A : Statistics in Society. Oxford University Press. ISSN 0964-1998. eISSN 1467-985X. Verfügbar unter: doi: 10.1093/jrsssa/qnae068
BibTex
@article{Lerner2024-07-23Relat-70827,
  year={2024},
  doi={10.1093/jrsssa/qnae068},
  title={Relational hyperevent models for the coevolution of coauthoring and citation networks},
  issn={0964-1998},
  journal={Journal of the Royal Statistical Society Series A : Statistics in Society},
  author={Lerner, Jürgen and Hâncean, Marian-Gabriel and Lomi, Alessandro}
}
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Beschreibung der Forschungsdaten
data and code for preprocessing and analysis, as well as instructions on how to use this code
Online First: Zeitschriftenartikel, die schon vor ihrer Zuordnung zu einem bestimmten Zeitschriftenheft (= Issue) online gestellt werden. Online First-Artikel werden auf der Homepage des Journals in der Verlagsfassung veröffentlicht.
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