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2021 Vol.31, Issue 3 Preview Page

Research Article

Domain Analysis of Research on Prediction and Analysis of Slope Failure by Co-Word Analysis

동시출현단어 분석을 활용한 비탈면 붕괴 예측 및 분석 연구에 관한 지적구조 분석

Sun-Kyum Kim1*
,
Seung-Hyun Kim2
김 선겸1*
,
김 승현2
1Senior Researcher, Korea Institute of Civil Engineering and Building Technology
2Research Fellow, Korea Institute of Civil Engineering and Building Technology
1한국건설기술연구원 수석연구원
2한국건설기술연구원 연구위원
*Corresponding Author
30 September 2021. pp. 307-319
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Abstract

Although it is currently conducting slope management and research using digital technologies such as drones, big data, and artificial intelligence, it is still somewhat insufficient and is still vulnerable to slope failure. For this reason, it is inevitable to present the development direction for research on prediction and analysis of slope failure using the digital technologies to effectively deal with slope failure, which requires a preemptive understanding of prediction and analysis of slope failure. In this paper, we collected literature data based on the Web of Science for five years from January 1, 2016 to December 31, 2020 and analyzed by co-word analysis to identify the domain structure of research on prediction and analysis of slope failure. Detailed subject areas were identified through network analysis, and the domain relationships between keywords were visualized to derive global and regionally oriented keywords through relationship, centrality analysis. In addition, the clusters formed by performing cluster analysis were displayed on the multidimensional scailing map, and the domain structure according to the correlation between each keyword was presented. The results of this study reveal the domain structure of research on prediction and analysis of slope failure, and are expected to be usefully used to find future research directions.

Keywords
slope failure
analysis
domain structure
co-word analysis
network analysis
cluster analysis

최근 드론 및 빅데이터, 인공지능 등 디지털 기술을 활용한 비탈면 연구를 수행하고 있으나 다소 미흡한 실정이며, 여전히 비탈면 붕괴 대비에 취약하다. 이러한 이유로 비탈면 붕괴에 효과적으로 대처하기 위해 디지털 기술을 활용한 비탈면 붕괴 예측 및 분석 연구에 대한 발전방향을 제시하는 것이 필연적이며, 이를 위해 비탈면 붕괴 예측 및 분석에 관한 이해가 선제되어야 한다. 본 연구는 비탈면 붕괴 예측 및 분석 연구의 지적구조를 규명하여 연구방향을 제시하기 위해 2016년 1월 1일부터 2020년 12월 31일까지의 5년간의 Web of Science 기반으로 문헌 데이터를 수집하고 이를 동시출현단어를 활용하여 분석하였다. 네트워크 분석을 통하여 세부 주제 영역을 밝히고, 키워드 간의 지적 관계를 시각화하여 관계, 중심성 분석을 통한 전역 및 지역 중심성이 높은 키워드를 도출하였다. 또한 군집분석을 실시하여 형성된 군집을 다차원축적지도에 표시하였으며, 각 키워드들 간의 상관관계에 따른 지적구조를 제시하였다. 이러한 연구의 결과는 비탈면 붕괴 분석 및 예측 연구의 지적구조를 밝히고, 향후 연구 방향을 찾는데 도움이 될 것으로 기대한다.

키워드
비탈면 붕괴
분석
지적구조
동시출현단어 분석
네트워크 분석
군집분석
References
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Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 31
  • No :3
  • Pages :307-319
  • Received Date : 2021-07-27
  • Revised Date : 2021-08-17
  • Accepted Date : 2021-08-19
  • DOI :https://doi.org/10.9720/kseg.2021.3.307
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