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The Evolution of Big Data Ecosystems : Co-Hashtag Network Analysis and Community Structure Detection

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2015년 한국경영정보학회 추계학술대회 (2015.11) 바로가기
  • 페이지
    pp.607-612
  • 저자
    Bongsug (Kevin) Chae
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A256872

원문정보

초록

영어
The analytics lens of big data is very popular in both industry press and academic literature where big data is often discussed in the contexts of volume, velocity, and variety. This study offered an innovation lens of big data as digital service innovation. An evolutionary, ecosystem-based framework is adopted for digital service innovation. Digital trace data from Twitter provides the opportunity to see glimpses of big data ecosystems and the elements of big data services at two stages in the evolutionary process. Also, co-hashtag network analysis and community structure detection are used to understand the structure and dynamics of the big data ecosystem and its elements, over time. Finally, discussions and implications are presented.

목차

Abstract
 Introduction
 Digital Service Innovation
 Evolution and Ecosystem
 Methods
 Results
 Discussion and Conclusion
 References

저자

  • Bongsug (Kevin) Chae [ Kansas State University, KS, 66505 U.S.A. ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658