Profili znanstvenih objav slovenskih raziskovalcev – analiza simbolnih podatkov : analiza simbolnih podatkov

Lasnibat, Gregor (author), Kronegger, Luka (mentor)

Pretekle analize bibliometričnih podatkov in pozorna opazovanja kažejo, da obstajajo znatne razlike in razhajanja v mnogih vidikih delovanja med posameznimi raziskovalnimi področji. Pričujoče delo uvodoma razčleni krovno problematiko razlik, jih podrobno predstavi in podkrepi s podatki analiz, nato pa na teh temeljih preverja hipoteze o pojavnosti različnih profilov frekvence znanstvenih objav slovenskih raziskovalcev. Praktični del naloge obravnava analizo simbolnih podatkov, pridobljenih iz baze SICRIS, konkretno objave slovenskih znanstvenikov v obliki izvirnih znanstvenih člankov za njihovih prvih 15 let delovanja, delujočih od 1922 do 2017. Analiza, izvedena s prilagojeno metodo voditeljev in s prilagojeno metodo Wardovega hierarhičnega združevanja, pokaže na obstoj različnih profilov pogostosti objavljanja, postanaliza pa na vpliv znanosti, kot tudi spola, na razlike med analiziranimi profili.

• Language: Slovenian
• Keywords: Analiza simbolnih podatkov, razvrščanje v skupine, profili znanstvenih objav, razlike med naravoslovjem in družboslovjem.
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FDV - Faculty of Social Sciences
• Place of publishing: Ljubljana
• Publisher: [G. Lasnibat]
• Year: 2022
• Number of pages: 57 str.
• PID: 20.500.12556/RUL-134956
• UDC: 001.891(043.2)
• COBISS.SI-ID: 100480259
• Publication date in RUL: 13.02.2022

Secondary language

• Language: English
• Title: Profiles of scientific papers by Slovenian academics – an analysis of symbolic data : diplomsko delo

Abstract

Previous analyses of bibliometric data and careful observations indicate marked differences and deviations in many facets of scientific operationalization observed between different sciences. This thesis elaborates on this umbrella issue of differences, presents them in further detail, supports them with concrete evidence stemming from analysis data, and then hypothesizes on the emergence of different profiles of scientific publishing of Slovenian researchers. The practical part of the thesis concerns the analysis of symbolic data obtained from the SICRIS database, specifically the publishing of Slovenian scientists in the form of original scientific articles for their first 15 years of operation, encompassing scientists writing from 1922 to 2017. The analysis carried out using adapted leaders method and adapted Ward's hierarchical clustering method shows the existence of different profiles of scientific publishing, and the post-analysis shows the influence of different sciences as well as gender on the differences between profiles.

• Keywords: Analysis of symbolic data, clustering, profiles of scientific publishing, differences between natural and social sciences.