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Knowledge Creation Structure of Big Data Research Domain

빅데이터 연구영역의 지식창출 구조

  • Namn, Su-Hyeon (Department of Global IT Business, Hannam University)
  • 남수현 (한남대학교 글로벌IT경영전공)
  • Received : 2015.07.12
  • Accepted : 2015.09.20
  • Published : 2015.09.28

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

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