20.500.12556/RUL-183037 Biblium a Python library for comparative bibliometric analysis This paper presents Biblium, a Python library for bibliometric and scientometric analysis that introduces a formal framework for comparative group analysis—a capability largely absent from existing bibliometric software. The library’s primary methodological contribution is the BiblioGroup framework, which enables researchers to (1) organize bibliographic datasets into user-defined, potentially overlapping subgroups, (2) perform association testing with standardized residuals to quantify how bibliometric entities distinguish between groups, (3) apply correspondence analysis for dimensionality reduction of group–entity relationships, and (4) classify documents into groups using multiple machine learning algorithms. These capabilities address a fundamental analytical question in comparative scientometrics: what statistically distinguishes one subset of publications from another? Biblium also provides a comprehensive analytical environment supporting six major bibliographic databases (Scopus, Web of Science, OpenAlex, PubMed, Dimensions, Lens. org), descriptive bibliometrics, network analysis, temporal dynamics, and a graphical user interface for researchers without programming expertise. Cross-library consistency testing against five established Python bibliometric libraries demonstrated agreement on all compared metrics. Biblium is openly available on GitHub and PyPI. bibliometric analysis scientometrics Python library group analysis comparative bibliometrics scientometric software bibliometrična analiza scientometrija knjižnica za Python skupinska analiza primerjalna bibliometrija scientometrična programska oprema true false true Angleški jezik Slovenski jezik Članek v reviji 2026-06-02 13:26:11 2026-06-02 13:32:14 2026-06-03 04:31:56 0000-00-00 00:00:00 2026 0 0 Str. 3359-3377 issue 5 Vol. 131 May 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 001.891:004 1588-2861 10.1007/s11192-026-05636-8 276876291 RAZ_Umek_Lan_2026.pdf RAZ_Umek_Lan_2026.pdf 1 705A4CD193D7840802D43B77FDB446CA ed0421c9f1e040c9ae862112d0babff24de5907302f2e3bda1b7743d5da20ec3 2c4eab61-5e76-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234848 https://link.springer.com/article/10.1007/s11192-026-05636-8 1 8b21a551-5e75-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234847 Fakulteta za upravo 0 0 0