지적과 국토정보 (Journal of Cadastre & Land InformatiX)

  • 제50권2호
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  • Pages.203-219
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  • 2020
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  • 2508-3384(pISSN)
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  • 2508-3392(eISSN)
한국국토정보공사 공간정보연구원 (LX Spatial Information Research Institute)
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한국 지적학 연구분야 공동저술활동의 공간분포패턴연구

A Study on the Spatial Distribution Patterns of Co-authoring Activities in the Korean Cadastral Research Field

  • Kim, Yun-Ki (Department of Land Management, Choengju University)
  • 투고 : 2020.10.27
  • 심사 : 2020.11.25
  • 발행 : 2020.12.30
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초록

본 연구의 주된 목적은 한국 지적 과학 분야 공동 저술 활동의 공간분포패턴을 식별하는 것이다. 분석 결과 소수의 연구자들이 한국 지적 공동 저작 네트워크에서 중요한 역할을 수행 한 것으로 나타났다. 특히 일부 저자는 네트워크의 다른 노드에 막대한 영향을 미쳤을 뿐만 아니라 연구자 간 중재자 역할을 충실히 수행하였다. 또한 한국 지적학 공동 저술 네트워크의 영향력 있는 연구자들은 특정 지역에 집중되어 있었다. 게다가, 연구자들 사이의 거리는 제한된 범위에서 공동 저작 결정에 영향을 미쳤다. 본 연구는 공간 분석 기법을 사용하여 공동 저작 활동의 공간 분포 패턴을 식별했다는 점에서 기존의 연구들과 큰 차이가 있다. 그러나 본 연구는 공동 저작 활동의 공간 분포 패턴을 식별하기 위해 2019년도 데이터만을 사용했다는 점에서 한계를 지니고 있다. 이러한 한계들은 우리가 향후 연구에서 복수 년도 자료를 이용하여 공동 저작 활동의 공간 분포 패턴을 분석한다면 극복할 수 있을 것이다.

The primary purpose of this study is to identify spatial distribution patterns of co-authoring activities in Korean cadastral science. The analysis showed that a small number of researchers played an essential role in the Korean cadastral co-authorship network. In particular, some authors not only had a significant influence on other nodes in the network but also served as intermediaries between researchers. Moreover, the distance between researchers influenced co-authorship decisions to a limited extent. This study differs considerably from previous studies in that it used spatial analysis techniques to identify spatial distribution patterns of co-authoring activities. However, this research is limited in that it applied only 2019 data to determine the spatial distribution pattern of co-authoring activities. We can overcome this limitation if we analyze the spatial distribution patterns of co-authoring activities using multi-year data in future studies.

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참고문헌

  1. Abbasi A, Altmann J, Hossain L. 2011. Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures. Journal of Informetrics. 5(4):594-607. https://doi.org/10.1016/j.joi.2011.05.007
  2. Anselin L. 1995. Local indicators of spatial association-LISA. Geographical analysis. 27(2): 93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
  3. Anselin, L. 2003. An introduction to spatial autocorrelation analysis with GeoDa. Spatial Analysis Laboratory, University of Illinois, Champagne-Urbana Illinois.
  4. Apolloni A, Jean-Baptiste R, Pablo J. 2013, Collaboration range: Effects of geographical proximity on article impact. The European Physical Journal Special Topics. 222(6): 1467-1478. https://doi.org/10.1140/epjst/e2013-01937-5
  5. Barrett S. 2002. Overcoming transactional distance as a barrier to effective communication over the internet. International Education Journal. 3(4):34-42.
  6. Bassett DS, Bullmore ED. 2006. Small-world brain networks. The neuroscientist. 12(6):512-523. https://doi.org/10.1177/1073858406293182
  7. Bornmann L, de Moya Angeon F. 2019. Hot and cold spots in the US research: A spatial analysis of bibliometric data on the institutional level. Journal of Information Science. 45(1):84-91. https://doi.org/10.1177/0165551518782829
  8. Bornmann L, Waltman L. 2011. The detection of "hot regions" in the geography of science―Avisualization approach by using density maps. Journal of informetrics. 5(4): 547-553. https://doi.org/10.1016/j.joi.2011.04.006
  9. Cohen E, Delling D, Pajor T, Werneck RF. 2014. Computing classic closeness centrality, at scale. In Proceedings of the second ACM conference on Online social networks. p. 37-50.
  10. Fiaschi D, Gianmoena L, Parenti A. 2014. Local directional moran scatter plot. p.97-112
  11. Frenken K, Hardeman S, Hoekman J. 2009. Spatial scientometrics: Towards a cumulative research program. Journal of informetrics. 3(3):22-232.
  12. Hoefer M, Krysta P. 2005. Geometric network design with selfish agents. In International Computing and Combinatorics Conference. p. 167-178.
  13. Hou, H., Kretschmer, H., & Liu, Z. (2008). The structure of scientific collaboration networks in Scientometrics. Scientometrics, 75(2), 189-202. https://doi.org/10.1007/s11192-007-1771-3
  14. Hudson J. 1996. Trends in multi-authored papers in economics. Journal of Economic Perspectives. 10(3):153-158. https://doi.org/10.1257/jep.10.3.153
  15. Jones HAC, Noble C, Damsgard B, Pearce GP. 2011. Social network analysis of the behavioural interactions that influence the development of fin damage in Atlantic salmon parr (Salmo salar) held at different stocking densities. Applied Animal Behaviour Science. 133(1-2): 117-126. https://doi.org/10.1016/j.applanim.2011.05.005
  16. Liu X, Bollen J, Nelson ML, Van de Sompel H. 2005. Co-authorship networks in the digital library research community. Information processing &management. 41(6):1462-1480. https://doi.org/10.1016/j.ipm.2005.03.012
  17. Matkan AA, Shahri M, Mirzaie M. 2013. Bivariate Moran's I and LISA to explore the crash risky locations in urban areas. N-Aerus. 14:1-12.
  18. Morel CM, Serruya SJ, Penna GO, Guimaraes R. 2009. Co-authorship network analysis: a powerful tool for strategic planning of research, development and capacity building programs on neglected diseases. PLoS neglected tropical diseases. 3(8):e501. https://doi.org/10.1371/journal.pntd.0000501
  19. Newman ME. 2001. The structure of scientific collaboration networks. Proceedings of the national academy of sciences. 98(2):404-409. https://doi.org/10.1073/pnas.98.2.404
  20. Nurhas I, de Fries T, Geisler S, Pawlowski J. 2018. Positive Computing as Paradigm to Overcome Barriers to Global Co-authoring of Open Educational Resources. In 2018 23rd Conference of Open Innovations Association. p. 281-290.
  21. Rochat Y. 2009. Closeness centrality extended to unconnected graphs: The harmonic centrality index.
  22. Yan E, Ding Y. 2009. Applying centrality measures to impact analysis: A coauthorship network analysis. Journal of the American Society for Information Science and Technology. 60(10): 2107-2118. https://doi.org/10.1002/asi.21128
  23. Zhang J, Luo Y. 2017. Degree centrality, betweenness centrality, and closeness centrality in social network. In 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017). Atlantis Press.