DOI QR코드

DOI QR Code

A Study on the Application to Network analysis on Importance of Author keyword based on Sequence of keyword

네트워크 분석을 통한 저자키워드 출현순서에 대한 의미 분석

  • Kwon, Sun-young (Division of Library and Information Science, Hannam University)
  • Received : 2018.06.22
  • Accepted : 2018.09.20
  • Published : 2018.09.28

Abstract

This study aims to investigate an importance of Author keyword with analysis the position of author keyword. An analysis was carried out on the position of author keyword. we examined an importance of Author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. In the next stage, we performed analysis on correlation between network centrality measures and the position of keyword. As a result, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality both has a high value in 4th author keyword order. eigenvector centrality was the comparatively effective method to separate of author keyword order method than other 3 centrality. Correlation analysis result shows that the network analysis value are increasing in order. This study has significance in that it was able to examine the author keyword behavior. Future research is needed to identify and supplement future situational factors, behavior, and psychology.

본 연구는 학술논문의 출현순서에 따른 저자키워드의 중요도를 측정해보고자 하는 연구이다. 이를 위해 학술논문 저자키워드의 출현순서를 측정한 후 네트워크 분석 방법의 연결정도중심성, 근접중심성, 매개중심성, 위세중심성 지수를 사용하여 저자키워드의 중요도를 측정해보았으며 다음으로 각각의 네트워크지수 값과 저자키워드의 출현순서와의 상관관계 분석을 수행하여 출현순서의 특징을 살펴보고자 하였다. 연구결과 연결정도중심성, 근접중심성, 매개중심성, 위세중심성 모두 4번 째 출현순서가 높은 군집의 논문수가 많은 것으로 나타났다. 다음으로 상관관계 분석결과 근접중심성을 제외한 연결정도중심성, 매개중심성, 위세중심성의 경우 출현순서의 뒷부분으로 갈수록 지수 값이 모두 높아지는 것을 볼 때 네트워크 상에서 상대적으로 중요한 용어가 뒷부분에 위치한다는 것을 알 수 있다. 본 연구는 대략적으로 연구자들의 저자키워드 부여 행태를 살펴볼 수 있었다는 점에서 의의를 지닌다. 향후 저자키워드의 전개양상을 심층적으로 살펴 보기 위해서는 상황적 요인, 행동, 심리 등을 파악하여 보완하는 후속 연구가 반드시 필요하다.

Keywords

References

  1. S. Y. Kwon. (2014). A Study on the Factors Influencing Semantic Relation in Building a Structured Glossary, Journal of The Korean Library and Information Science. 48(2), 353-378.
  2. H. Y. Mun. 2000. Subject Headings of Korean medical journal papers: Author keywords vs. MESH. The Graduate School, Sookmyung Women's University.
  3. K. Taghva, J. Borsack, T. Nartker, A. Condit. (2004). The role of manually assigned keywords in query expansion. Information Processing & Management, 40, 441-458. https://doi.org/10.1016/j.ipm.2003.12.005
  4. S. H. Park, K. Y. Park. (2011). Coincidence Analysis of Key Words and MeSH Terms in the Journal of the Korean Society of Occupational Therapy. The Journal of Korean Society of Occupational Therapy, 19(4), 131-146.
  5. Y. M. Ko, M. S. Song, B. Y. Kim, H. R. Min. (2013). A Study on the Correlation between the Appearance Frequency of Author Keyword and the Number of Citation in the Humanities and Social Science Journal Articles of the Korea Citation Index (KCI). Journal of the Korean Society for Information Management, 30(2), 227-243. https://doi.org/10.3743/KOSIM.2013.30.2.227
  6. T. Gross, A. G. Taylor. (2005). What have we got to lose? The effect of controlled vocabulary on keyword searching results. College & Research Libraries, 66(3), 212-230. https://doi.org/10.5860/crl.66.3.212
  7. P. J. Kim, J. Y. Lee. (2012). A Study on the Reclassification of Author Keywords for Automatic Assignment of Descriptors. Journal of the Korean Society for Information Management, 29(2), 225-246. https://doi.org/10.3743/KOSIM.2012.29.2.225
  8. K. B. Kang, J. H. Kim, Y. B. Kim, J. K. Kim. (2014). Use of Medical Subject Headings (MeSH) in the Journal of the Korean Orthopaedic Association. Journal of The Korean Orthopaedic Assiciationa, 49(4), 302-306. https://doi.org/10.4055/jkoa.2014.49.4.302
  9. C. J. Yang. (2010). Study on Keywords and Their Use of Academic Theses - Focused on Database Development and Information Link. Humanities Contents, 19, 395-416.
  10. Y. D. Lee. (2006). An Analysis of the Key Words in Korean Journal of Japanology in Korea. Journal of Japanese Language and Literature, 31, 107-121.
  11. O. Park. (2011). Knowledge Structures in Knowledge Organization Research: 2000-2011. Journal of The Korean Biblia Society For Library And Information Science, 22(3), 247-267. https://doi.org/10.14699/KBIBLIA.2011.22.3.247
  12. H. Y. Lee & S. J. Kwak. (2011). Relation Analysis Among Academic Research Areas Using Subject Terms of Domestic Journal Papers, Journal of The Korean Biblia Society For Library And Information Science, 22(3), 353-371. https://doi.org/10.14699/KBIBLIA.2011.22.3.353
  13. C. Jane. (2011). A Study for Research Area of Library and Information Science by Network Text Analysis. Journal of the Korean Society for Information Management, 28(4), 65-83. https://doi.org/10.3743/KOSIM.2011.28.4.065
  14. B. I. Kang, J. H. Park. (2013). Profiling and Co-word Analysis of Teaching Korean as a Foreign Language Domain. Journal of the Korean Society for Information Management, 30(4), 195-213. https://doi.org/10.3743/KOSIM.2013.30.4.195
  15. S. K. Seo, E. K. Chung. (2013). Domain Analysis on the Field of Open Access by Co-Word Analysis. Journal of The Korean Biblia Society for Library and Information Science, 24(1), 207-228. https://doi.org/10.14699/kbiblia.2013.24.1.207
  16. L. L. Zhang, H. J. Hong. (2014). Examining the Intellectual Structure of Reading Studies with Co-Word Analysis Based on the Importance of Journals and Sequence of Keywords. Journal of The Korean Biblia Society For Library And Information Science, 25(1), 295-318. https://doi.org/10.14699/kbiblia.2014.25.1.295
  17. S. Y. Kwon. (2014). A Study on the Application to Network Analysis on the Importance of Author Keyword based on the Position of Keyword. Journal of the Korean Society for Information Management, 31(2), 121-142. https://doi.org/10.3743/KOSIM.2014.31.2.121
  18. S. Y. Kwon, E. J. Park. (2015). Knowledge Structure of the Korean Journal of Occupational Health Nursing through Network Analysis. Korean Journal of Occupational Health Nursing, 24(2), 76-85. https://doi.org/10.5807/kjohn.2015.24.2.76
  19. N. R. Kim, H. R. Choi, T. L. (2018). Analysis of Domestic SNA-based Governance Study Trends. Journal of Digital Convergence, 16(7), 35-45.
  20. M. S. Chung, S. H. Park, B. H. Chae, J. Y. Lee. (2017). Analysis of major research trends in artificial intelligence through analysis of thesis data. Journal of Digital Convergence, 15(5), 225-233. https://doi.org/10.14400/JDC.2017.15.2.225
  21. S. Yoo, M. Baik. (2017). Analysis of domestic dementia research trend for integrated study. Journal of Convergence for Information Technology, 7(3), 1-12.
  22. H. Lee. (2017). Analysis of Research Trends related to Women: Focusing on Literature in Korean Journal of Social Welfare, 2009-2017. Journal of Convergence for Information Technology, 7(5), 149-155. https://doi.org/10.22156/CS4SMB.2017.7.5.149