• Review of KIISC
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• v.10 no.1
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• pp.51-62
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• 2000

본 연구의 목적은 취약성을 보안대책의 결핍으로 정의해서 정보보호지표의 개념을 도출한 후에, 정보자산가치에 따라서 가중치를 부여하는 정보자산가치가중치법에 의해서 정보보호지표를 계량화하는 절차를 제시하는 것이다. 이와 같은 정보보호지표에 근거해서 정보보호를 위한 기본적인 보호 대책(관리적, 기술적, 물리적 대책을 포함하는 기본통제)을 구현하고 특정 응용시스템을 위한 특수한 보호 대책을 구현함으로써, 조직 내외의 위협으로부터 안정적이고 신뢰성 있는 정보서비스를 제공할 수 있다.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.103-124
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• 2016

This study aims to investigate the research trends of disaster in Korea through a bibliometric analysis. To do that, it analyzed 772 scholarly articles published from 2002 to 2016, retrieved from KCI (Korean Citation Index) database. For analysis, discipline profiling analysis, journal profiling analysis, and co-word analysis methods were used. The study found that the number of scholarly articles on disaster has increased, especially after Sewol ferry disaster occurred in 2004. The major discipline areas were identified as 'policy sciences/public administration' area, 'engineering' area, 'GIS/telecommunication' area, and 'medical/humanities/social sciences' area. In terms of time series, the proportion of scholarly articles published in 'policy sciences/public administration' area has decreased since 2014 and at the same time, discipline areas have been diversified including law, medical, and journalism.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.333-355
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• 2006

Network generation methods to visualize bibliometric data for examining the intellectual structure of knowledge domains are investigated in some detail. Among the four methods investigated in this study, pathfinder network algorithm is the most effective method in representing local details as well as global intellectual structure. The nearest neighbor graph, although never used in bibliometic analysis, also has some advantages such as its simplicity and clustering ability. The effect of input data preparation process on resulting intellectual structures are examined, and concluded that unlike MDS map with clusters, the network structure could be changed significantly by the differences in data matrix preparation process. The network generation methods investigated in this paper could be alternatives to conventional multivariate analysis methods and could facilitate our research on examining intellectual structure of knowledge domains.

• Journal of the Korean Society for information Management
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• v.5 no.1
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• pp.104-130
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• 1988

The purpose of this study is to grasp the research activities of Korean statisticians and scientific properties of statistics field guantitatively by analyzing its literature with various bibliometric research methods. In this study the productivity of authors arid cited literatures were analyzed.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.43-51
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• 2012

The OLS(ordinary least squares) method is widely used in hedonic housing models. One of the assumptions of the OLS is an independent and uniform distribution of the disturbance term. This assumption can be violated when the spatial autocorrelation exists, which in turn leads to undesirable estimate results. An alterative to this, spatial econometric models have been introduced in housing price studies. This paper describes the comparisons between OLS and spatial econometric models using housing transaction prices of Busan, Korea. Owing to the approaches reflecting spatial autocorrelation, the spatial econometric models showed some superiority to the traditional OLS in terms of log likelihood and sigma square(${\sigma}^2$). Among the spatial models, the SAR(Spatial Autoregressive Models) seemed more appropriate than the SAC(General Spatial Models) and the SEM(Spatial Errors Models) for Busan housing markets. We can make sure the spatial effects on housing prices, and the reconstruction plans have strong impacts on the transaction prices. Selecting a suitable spatial model will play an important role in the housing policy of the government.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.215-218
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• 2000

본 연구는 계량서지학적 측정을 통해 국내 문헌정보학자들의 연구동향을 규명하기 위하여, 국제적으로 가장 영향력 있는 사회과학분야 학술지에 대한 대표적인 인용색인 데이터베이스인 SSCI에 게재된 논문을 대상으로 다양한 관점, 즉 저자별, 주제별, 저널별. 출신학교별, 소속대학별, 연도별, 연령별, 핵심전공주제별, 핵심저자별 및 핵심저널별로 분석하였다. 본 연구는 향후 국내 문헌정보학의 국제화 및 이에 따른 연구방향을 제시하는데 유용할 것으로 본다.

• Journal of Korean Library and Information Science Society
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• v.47 no.2
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• pp.287-304
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• 2016

This paper introduces a new bibliometric measure called Quality Factor, which assesses multiple facets of faculty research performance. The computation of Quality factor is based on a combination of publication count, citation count, h-index, and Impact Factor. In order to analyze the relationship between Quality Factor and other bibliometric measures (publication count, citation count, h-index, g-index, Impact Factor), the study collected publication data of 189 Korean Library and Information Science professors from 2001 to 2014 to produce the rankings of the faculty by each bibliometric measure and computed Spearman's rank correlations between the rankings. The overall results showed Quality Factor to be correlated to citation-driven measures (citation count, h-index, g-index), but the scatterplot as well as rank-interval analysis showed Quality Factor to be distinctive and more discriminating than other measures.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.1
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• pp.191-207
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• 2017

This paper employs entitymetrics analysis on the research works of Dong-ju Yun. He was a Korean poet who was studied by many researchers on his works, religion and life. We collected 1,076 papers about Dong-ju Yun and conducted various approaches including co-author citation analysis, topic modeling analysis to identify the topic trend in the study of Dong-ju Yun. Also we extracted entities like person's name and literature's title from abstract to examine the relationship among them. The result of this paper enables us to objectively identify the topic trend and infer implicit relationships between key concept associated with Dong-ju Yun based on text data. Moreover, we observed sub-research topics such as life, poem, aesthetic existence, comparative literature, literary translation, and religious beliefs. This paper shows how entitymetrics can be utilized to study intellectual structures in the humanities.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.203-232
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• 2022

Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

• Journal of Information Management
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• v.39 no.4
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• pp.241-257
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• 2008

This study describes the growth, contribution and impact of research carried out by University of Mysore scientists in science and technology. It indicates the patterns of communications of university scientists and studies the extent of concentration and scattering of their research output in different journals. It also analyses the strong and weak areas of university research, their growth rate and impact in terms of average citations received. It also studies the output and impact of research under different existing subject departments of the university and analyses the international collaborative share of research output at the overall level as well as across various subjects, indicating also the major countries involved in international collaboration. It describes the share and characteristics of select high cited papers and the top productive authors.