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Mapping knowledge. Topic analysis of science locates researchers in disciplinary landscape
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SYSNO ASEP 0601845 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Mapping knowledge. Topic analysis of science locates researchers in disciplinary landscape Tvůrce(i) Hladík, Radim (FLU-F) ORCID, RID, SAI
Renisio, Y. (FR)Číslo článku 101950 Zdroj.dok. Poetics. - : Elsevier - ISSN 0304-422X
-, č. 108 (2025)Poč.str. 20 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova topic modeling ; geometric data analysis ; science mapping ; field theory ; scientometrics Vědní obor RIV AO - Sociologie, demografie Obor OECD Sociology CEP GJ20-01752Y GA ČR - Grantová agentura ČR Výzkumná infrastruktura e-INFRA CZ II - 90254 - CESNET, zájmové sdružení právnických osob
LINDAT/CLARIAH-CZ II - 90262 - Univerzita Karlova / Matematicko-fyzikální fakultaZpůsob publikování Open access Institucionální podpora FLU-F - RVO:67985955 UT WOS 001363761900001 EID SCOPUS 85209595872 DOI https://doi.org/10.1016/j.poetic.2024.101950 Anotace The study presents a new approach for constructing an epistemological coordinate system that locates individual researchers within the disciplinary landscape of science. Drawing on a comprehensive national dataset of scientific outputs, we build a topic model based on a semantic network of publications and terms derived from textual content comprising titles, abstracts, and keywords. Compositional data transformation applied to the topic model enables a geometric analysis of topics across disciplines. The design yields four important results for addressing the gap between knowledge and knowledge-producers. (1) Hierarchical clustering confirms an alignment between traditional disciplinary classification and our empirical, bottom-up topic model. (2) Principal component analysis reveals three axes – Culture–Nature, Life–Non-life, and Materials–Methods – that primarily structure this scientific knowledge space. (3) The projection of individual researchers via their topic portfolios allows to locate them relationally on these three continuous measures of epistemological distinctions. (4) The robustness of our approach is validated by examining the links between researchers’ topic orientation and supplementary variables such as publication practices, gender, institutional affiliations, and funding sources. Our method could inform science policy and evaluation practices, as well as be extended to uncover associations between products and producers in other cultural fields. Pracoviště Filosofický ústav Kontakt Chlumská Simona, chlumska@flu.cas.cz ; Tichá Zuzana, asep@flu.cas.cz Tel: 221 183 360 Rok sběru 2025 Elektronická adresa https://doi.org/10.1016/j.poetic.2024.101950
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