Know thy tools! Limits of popular algorithms used for topic reconstruction

نویسندگان

چکیده

Abstract To reconstruct topics in bibliometric networks, one must use algorithms. Specifically, researchers often apply algorithms from the class of network community detection (such as Louvain algorithm) that are general-purpose not intentionally programmed for a task. Each algorithm has specific properties “inscribed,” which distinguish it others. It can thus be assumed different more or less suitable given However, suitability when is applied topic reconstruction rarely reflected upon. Why choose this and another? In study, I assess four reconstruction, by first deriving phenomenon to reconstructed—topics—and comparing if these match with The results suggest previous purposes cannot justified their

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ژورنال

عنوان ژورنال: Quantitative science studies

سال: 2022

ISSN: ['2641-3337']

DOI: https://doi.org/10.1162/qss_a_00217