A Study on the Spatial Distribution Patterns of Co-authoring Activities in the Korean Cadastral Research Field
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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.
Abstract
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.
참고문헌 (23)
- Abbasi A, "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), pp.594~607 (2011)
- Anselin L, "Local indicators of spatial association—LISA", Geographical analysis, 27(2), pp.93~115 (1995)
- Anselin, L., "An introduction to spatial autocorrelation analysis with GeoDa", pp.2003
- Apolloni A, "Collaboration range : Effects of geographical proximity on article impact", The European Physical Journal Special Topics, 222(6), pp.1467~1478 (2013)
- Barrett S, "Overcoming transactional distance as a barrier to effective communication over the internet", International Education Journal, 3(4), pp.34~42 (2002)
- Bassett DS, "Small-world brain networks", The neuroscientist, 12(6), pp.512~523 (2006)
- Bornmann L, "Hot and cold spots in the US research : A spatial analysis of bibliometric data on the institutional level", Journal of Information Science, 45(1), pp.84~91 (2019)
- Bornmann L, "The detection of"hot regions"in the geography of science—A visualization approach by using density maps", Journal of informetrics, 5(4), pp.547~553 (2011)
- Cohen E, "Computing classic closeness centrality, at scale", Proceedings of the second ACM conference on Online social networks, pp.37~50 (2014)
- Fiaschi D, "Local directional moran scatter plot", pp.97~112 (2014)
- Frenken K, "Spatial scientometrics : Towards a cumulative research program", Journal of informetrics, 3(3), pp.22~232 (2009)
- Hoefer M, "network design with selfish agents", International Computing and Combinatorics Conference, pp.167~178 (2005)
- Hou, H., "The structure of scientific collaboration networks in Scientometrics", Scientometrics, 75(2), pp.189~202 (2008)
- Hudson J, "Trends in multi-authored papers in economics", Journal of Economic Perspectives, 10(3), pp.153~158 (1996)
- Jones HAC, "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), pp.117~126 (2011)
- Liu X, "Co-authorship networks in the digital library research community", Information processing &management, 41(6), pp.1462~1480 (2005)
- Matkan AA, "Bivariate Moran’s I and LISA to explore the crash risky locations in urban areas", N-Aerus, 14, pp.1~12 (2013)
- Morel CM, "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), pp.e501~ (2009)
- Newman ME, "The structure of scientific collaboration networks", Proceedings of the national academy of sciences, 98(2), pp.404~409 (2001)
- Nurhas I, "Positive Computing as Paradigm to Overcome Barriers to Global Co-authoring of Open Educational Resources", 2018 23rd Conference of Open Innovations Association, pp.281~290 (2018)
- Rochat Y, "Closeness centrality extended to unconnected graphs: The harmonic centrality index", ~ (2009)
- Yan E, "Applying centrality measures to impact analysis: A coauthorship network analysis", Journal of the American Society for Information Science and Technology, 60(10), pp.2107~2118 (2009)
- Zhang J, "Degree centrality, betweenness centrality, and closeness centrality in social network", 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017) (2017), Atlantis Press
