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http://dx.doi.org/10.9708/jksci.2021.26.12.085

Identification and Analysis of Author's Institution in Korean Journal Papers for the Decision Support in Disaster Situations  

Kim, Byungkyu (Dept. of Data-Centric Problem Solving Research, KISTI)
You, Beom-Jong (Dept. of Data-Centric Problem Solving Research, KISTI)
Shim, Hyoung-Seop (Dept. of Open Data Convergence Research, KISTI)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.12, 2021 , pp. 85-97 More about this Journal
Abstract
In this paper, in order to support rapid and effective decision-making and response in disaster situations, we identified the author's organization of academic research papers and conducted a collaborative relationship analysis study based on this. For this purpose, 2,308 papers in 69 Korean academic journals classified by disaster and safety type were selected for analysis and experimental data were constructed based on the Korea Science Citation Database (KSCD) and institutional identification data provided by KISTI. Collaborative relationship analysis was conducted for each of the four units (Institution, Institution type, Institution region and University department type). First, statistical status such as frequency of appearance was compared, and basic properties and main centrality index of each co-occurrence network were calculated and analyzed using Social Network Analysis Method. In addition, a visualization map was created and presented for each network so that the collaborative relationship could be viewed and understood as a whole. The results of this study are expected to contribute to the search activities of institutions and cooperative groups that support effective disaster response and to lay the foundation for the information service system.
Keywords
Decision Support in Disaster Situations; Korean Journal Papers; Institution Identification data; Social Network Analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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