This study tried to analyze the keywords of the papers published in the Korea Safety Management Science by using the social network analysis. In order to extract the keywords, information on journal articles published from 2018 to 2021 was extracted from the SCIENCE ON. Among the keywords extracted from a total of 129 papers, the keywords with similar meanings were standardized. The keywords used in the same paper were visualized by connecting them through a network. Four centrality indicators of the social network analysis were used to analyze the effect of the keyword. Safety, Safety management, Apartment, Fire hose, SMEs, Virtual reality, Machine learning, Waterproof time, R&D capability, and Job crafting were selected as the keywords analyzed with high influence in the four centrality indicators.

Abstract
1. 서 론
2. 자료 수집 및 분석 도구
3. 주제어 중요도 분석
4. 결론
5. References

• 양병학(가천대학교 산업경영공학과) | Byoung-Hak Yang (Department of Industrial Engineering, Gachon University) Corresponding Author