• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1025-1039
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• 2016

We introduce various methods to investigate the relations between innovation of technology and social changes by analyzing more than 4 millions of patents registered at United States Patent and Trademark Office(USPTO) from year 1985 to 2015. First, we review the history of patent law and its relation with the quantitative changes of registered patents. Second, we investigate the differences of technical innovations of several countries by use of cluster analysis based on the numbers of registered patents at several technical sectors. Third, we introduce the PageRank algorithm to define important nodes in network type data and apply the PageRank algorithm to find important technical sectors based on citation information between registered patents. Finally, we explain how to use the canonical correlation analysis to study relationship between technical innovation and social changes.

• Journal of Information Management
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• v.42 no.4
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• pp.75-94
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• 2011

The purpose of this study is to analyze the domain on the field of Electrical Engineering in Korea by the author bibliographic coupling analysis. The data set contains a total of 2,157 articles from two core journals with 23,411 citation data from 2005 to 2009 published in two prestigious journals. In order to achieve the purpose of this study, MDS analysis, clustering analysis and network analysis were used to examine core subject areas. In addition, the centrality analysis in the weighted networks was used to explore the key authors in this field such as the top global centrality authors and the top local centrality authors. The findings of this study can be utilized to guide the current research trend and author network for collection development and information services in the field of Electrical Engineering.

• Korea Journal of Hospital Management
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• v.21 no.2
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• pp.1-12
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• 2016

This study examines academic research trends and the change of patterns by analyzing researches related to hospital management registered in Korea Citation Index(KCI) from 2010 to 2014 and offers basic information for interests and future research demands in the field of hospital management As research subjects, a total of 694 published articles were selected. It's to analyze them by dividing into research topics, methods and author's characteristics, and to present them by classifying the period into 2010-2011, 2012-2013, 3rd quarter of 2014 since there was no significant difference in the result between adjacent years. As a result, Korean Journal of Hospital Management has accounted for the highest published rate year after year. In the research topic analysis, it showed a decreasing trend in these research topics as medical marketing and patient satisfaction which became the biggest issue in 2010-2011 significantly were lower in 2014, but an increasing trend in job satisfaction, job stress, labor administration and workforce productivity. The most frequently cited keywords were hospital employees, job satisfaction, organizational commitment, job stress, turnover intention. According to the research method analysis, the survey was the most popular method for data collection. However, Interview and medical records as data sources showed a decline trend. As analysis methods, multivariate analysis of quantitative methods was most used. Finally, as a result of analyzing main author's characteristics, the ratio of the authors belonging to health administration and nursing departments of the academic world increased gradually. In the regional distribution, organizations in Seoul are most common, those in Daegu Gyeongbuk areas, foreign organizations showed a tendency to decrease. This is the first study to examine the annual trend on hospital management-related research issues among articles published in domestic journal and we found qualitative and quantitative advances in hospital management research filed.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.14 no.1
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• pp.107-121
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• 2003

The object of this study is to compare qualitative level between Korean academic books and American academic ones evaluated by faculty members in Korea. To achieve this study, the data were produced by the questionnaires from faculty members of the Chonbuk National University. The major conclusions are summarized as follows: 1. As a whole, American academic books are evaluated more excellent than Korean academic ones. American academic books have more appropriateness of citation, level of content completion, usefulness of content, clearness of expression and accuracy of data than Korean academic ones 2. This study shows that American academic books are evaluated more excellent than Korean academic ones in every subject. 3. The respondents who had studied in the United States of America for more than two years evaluate American academic books more excellent than those for less than two years. 4. Regardless of the periods of study in America, however, most of respondents evaluate American academic books better than Korean academic ones in all fields.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.301-319
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• 2017

The task of author name disambiguation involves identifying an author with different names or different authors with the same name. The author name disambiguation is important for correctly assessing authors' research achievements and finding experts in given areas as well as for the effective operation of scholarly information services such as citation indexes. In the study, we performed error correction and normalization of data and applied rules-based author name disambiguation to compare with baseline machine learning disambiguation in order to see if human intervention could improve the machine learning performance. The improvement of over 0.1 in F-measure by the corrected and normalized email-based author name disambiguation over machine learning demonstrates the potential of human pattern identification and inference, which enabled data correction and normalization process as well as the formation of the rule-based diambiguation, to complement the machine learning's weaknesses to improve the author name disambiguation results.

• Korean Journal of Community Nutrition
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• v.17 no.1
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• pp.26-37
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• 2012

This study was done to analyze the consumption patterns of health functional food (HFF) as well as to perform needs assessment for the development of web-contents on HFF according to age of adults. The subjects were 238 male and female adults, divided into 4 groups by their age. This study collected all information by self-administrated questionnaires. The awareness on HFF was high in the older adults. The younger adults showed more negative responses to reliability and safety on HFF. The main reason for the consumption of HFF was to supplement nutrients and to prevent diseases. The main types of HFF consumed by adults were nutritional supplementary food, red ginseng products, and glucosamine products. There was higher consumption of nutritional supplementary food in the younger adults and glucosamine products in the older adults. Internet users had low level of satisfaction, with tendency to complain poor contents, reliability, difficulties in searching as problems of the pre-existing HFF websites. As useful methods for provision of information on HFF, most adults wanted general information, articles written by experts and videos. They also wanted to know the safety and side effects of HFF. Requirement of contents composition were various in-depth information, clear indication of citation, fresh updated data while that of display composition was easily-findable, uncomplicated, allowing mutual exchange of communication through bulletin board. These results can be used as basic data that reflect the consumer's needs for developing HFF web-contents according to age of adults.

• Korean Journal of Acupuncture
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• v.35 no.2
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• pp.98-104
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• 2018

Objectives : It is noted that Jukheon-Silheombang(Actual Formulas of Jukheon), is a rare book published by a private physician in 1950s. The study of this book is the data that can be used to see how the acupuncture of Huh-Im is inherited and performed in the local small towns right after the Korean War. Methods : Through the investigation of various literature data and interviews with the author's descendants, Jukheon-Silheombang's related figures, citation documents, book formation and content characteristics were descriptively analyzed. Results and Conclusions : Jukheon-Silheombang can be used to study characteristics of acupuncture treatments given in a small town in the late 1950s. It has the significance of preserving traditional acupuncture such as the Sakwan point method and inheriting the clinical utility of Chimgu-Kyungheombang(Acupucture & Moxibustion Skills Guide) of Huh-Im.

• Journal of Information Science Theory and Practice
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• v.9 no.3
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• pp.76-106
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• 2021

The study analyzed bibliometric data of papers published in Korea Citation Index (KCI) and Web of Science (WoS) journals from 2002 to 2021. After examining size differences of KCI and WoS domains in the number of authors, institutions, and journals to put publication and citations counts in perspective, the study investigated co-authorship patterns over time to compare collaboration trends of Korean and international scholars and analyzed the data at author, institution, and journal levels to explore how the influences of authors, institutions, and journals on research output differ across domains. The study also conducted frequency-based analysis of keywords to identify key topics and visualized keyword clusters to examine topic trends. The result showed Korean LIS authors to be twice as productive as international authors but much less impactful and Korean institutions to be at comparable levels of productivity and impact in contrast to much of productivity and impact concentrated in top international institutions. Citations to journals exhibited initially increasing pattern followed by a decreasing trend though WoS journals showed far more variance than KCI journals. Co-authorship trends were much more pronounced among international publication, where larger collaboration groups suggested multi-disciplinary and complex nature of international LIS research. Keyword analysis found continuing diversification of topics in international research compared to relatively static topic trend in Korea. Keyword visualization showed WoS keyword clusters to be much denser and diverse than KCI clusters. In addition, key keyword clusters of WoS were quite different from each other unlike KCI clusters which were similar.

• Journal of Korean Medicine Rehabilitation
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• v.32 no.3
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• pp.77-84
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• 2022

Objectives This study is designed to identify the effectiveness of herbal medicine for osteoporosis in rheumatoid arthritis. Methods We will investigate 10 databases, 4 Korean databases (KoreaMed, KMBASE, Koreanstudies Information Service System [KISS], ScienceOn) and 6 of abroad (PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure [CNKI], WanFang, Citation Information by NII [CiNii]) without publication date, language limitation for clinical study of herbal medicine for osteoporosis in rheumatoid arthritis. Type, dose, duration, frequency of herb medicine will be analyzed. Results Randomized controlled trials about herbal medicine or herb extract for osteoporosis in rheumatoid arthritis should be included in the study. Cochrane's risk of bias tools will be used to assess quality of the study. Mean differences or standardized mean differences of 95% confidence intervals will calculated and data synthesis will be conducted using Review Manager (RevMan, ver.5.3; The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Denmark). Conclusions It is expected to provide basic data for the active use of herb medicine by systematically synthesizing and analyzing the actual situation, effectiveness, and safety of herb medicine for osteoporosis in rheumatoid arthritis.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.359-373
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• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.