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This is a Quantitative Study study.

September 29, 2025Open Access

Clustering scientific publications: lessons learned through experiments with a real citation network

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This analysis tests Louvain and Leiden clustering methods on a citation network, highlighting parameter tuning needs for accurate outcomes.

Results demonstrate that scalable methods like Louvain and Leiden can fail without proper settings.
Analysis was conducted on a citation graph of approximately 700,000 papers and 4.6 million citations.
Graph-based clustering methods are dependent on careful parameter tuning for effective partitioning.
Findings emphasize practical challenges in clustering large-scale bibliometric data and structure-specific method selection.

Hường et al. (2025) studied this question.

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September 29, 2025Open Access

View Full Paper

Ask AI

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Authors

This analysis tests Louvain and Leiden clustering methods on a citation network, highlighting parameter tuning needs for accurate outcomes.

Results demonstrate that scalable methods like Louvain and Leiden can fail without proper settings.
Analysis was conducted on a citation graph of approximately 700,000 papers and 4.6 million citations.
Graph-based clustering methods are dependent on careful parameter tuning for effective partitioning.
Findings emphasize practical challenges in clustering large-scale bibliometric data and structure-specific method selection.

Hường et al. (2025) studied this question.

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