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http://dx.doi.org/10.5392/JKCA.2022.22.07.018

Analyzing and Visualizing the Intellectual Structure of Data Science  

Park, Hyoungjoo (충남대학교 문헌정보학과)
Publication Information
The Journal of the Korea Contents Association / v.22, no.7, 2022 , pp. 18-29 More about this Journal
Abstract
The purpose of this exploratory study is to examine the intellectual structure of data science. For this purpose, this research examined a total of 17,997 bibliographies on data science indexed in Web of Science(WoS) of Clarivate Analytics from 2012 to 2021. This research applied methods such as descriptive analysis, citation analysis, co-author network analysis, co-occurrence network analysis, bibliographic coupling analysis, and co-citation analysis. This research contributes to finding the research directions of future data science topics.
Keywords
Data Science; Co-author Analysis; Co-occurence Analysis; Bibliographic Coupling Analysis; Co-citation Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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