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http://dx.doi.org/10.14400/JDC.2015.13.9.129

Knowledge Creation Structure of Big Data Research Domain  

Namn, Su-Hyeon (Department of Global IT Business, Hannam University)
Publication Information
Journal of Digital Convergence / v.13, no.9, 2015 , pp. 129-136 More about this Journal
Abstract
We investigate the underlying structure of big data research domain, which is diversified and complicated using bottom-up approach. For that purpose, we derive a set of articles by searching "big data" through the Korea Citation Index System provided by National Research Foundation of Korea. With some preprocessing on the author-provided keywords, we analyze bibliometric data such as author-provided keywords, publication year, author, and journal characteristics. From the analysis, we both identify major sub-domains of big data research area and discover the hidden issues which made big data complex. Major keywords identified include SOCIAL NETWORK ANALYSIS, HADOOP, MAPREDUCE, PERSONAL INFORMATION POLICY/PROTECTION/PRIVATE INFORMATION, CLOUD COMPUTING, VISUALIZATION, and DATA MINING. We finally suggest missing research themes to make big data a sustainable management innovation and convergence medium.
Keywords
Big Data; Convergence; Bottom-up Approach; Keyword Analysis; Bibliometric Data; Research Domain;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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