• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.149-169
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• 2018

The purpose of this study is to provide an in-depth analysis on the research productivity and the research performance of the School of Biological Sciences' faculty at the S University by their co-authorships and further to identify any difference in the citedness by their co-authorships. For the years 2004-2013, a total of 1,135 publications, published by thirty-nine faculty members, were collected and their publication patterns were analyzed by co-authorships. For the years 2004-2016, the citations to the 1,135 publications were analyzed by co-authorships. Among the four co-authorship types, the total number of publications by the domestic and international co-authorships amounted to 832(73.3%), and the study also found a statistical difference in the citation performance, i.e., the average number of citations per paper by co-authorships (F =4.830, $p=0.003^{**}$).

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.1-15
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• 2022

This study analyzes the relationship of citations appearing in the patent data to understand knowledge transfers and impacts between patent documents in the field of pharmaceutical research. Patent data were collected from a website, Google Patents. The top 25 assignees were selected by searching for patent documents related to pharmaceutical research. We identify the citation relationships between assignees, then calculate and compare the values of h-index and derived indicators by using the number of citations and rank for each document of each assignee. As a result, in the case of pharmaceutical research, the assignee, such as 'Pfizer, MIT, and Abbott' shows a high impact. Among the five bibliometric indicators, the g-index and hS-index show similar results, and the indicators are the most related to the rankings of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In addition, it is highly related to the five indicators in the order of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In some cases, it is difficult to make an accurate comparison with Cites per Patents alone, which is previously known to indicate the technological influence of patent assignees.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.273-296
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• 2013

The purpose of this study is to examine the data coverage and citation threshold for analyzing SPLC(Search Path Link Count) as a main path of a historiograph of a certain topic in order to provide 'core' papers of global research trends to a researcher affiliated with a local R&D institution. 5 datasets were constructed by retrieving and collecting 2,318 articles on RGB LED on Web of Science published from 1990-2013 and 20,109 articles which cited these original 2,318. The SPLC analysis was performed on each dataset by increasing the threshold of citation counts, and the changes and resilience of the 28 extraced networks were compared. The results of user feedback on 198 unique core papers from 28 SPLC networks received from LED researchers affiliated with a Korean government-sponsored research institution were also analyzed. As a result, it is found that the nodes in each SPLC network in each dataset were differentiated by the citation counts, while the changes in the structure of SPLC networks were slight after the networks' citation counts were set at 40. Additionally, the user feedback showed that personalized research interest generally matched to the global research trends identified by the SPLC analysis.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.169-191
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• 2022

The purpose of this study is to attempt a text network analysis for two years of 『Reference Materials for Librarian』 (2016-2017) published by the Library Operation Methodology Research Institute in North Korea. A text network analysis can measure how important a particular word by grasping the connectivity and relationship between words beyond a simple word frequency analysis, and it is also possible to interpret specific social phenomena and derive implications. Frequency, degree centrality, the betweenness centrality, community analysis of the collected words were calculated using NetMiner. As a result, the terms 'users', 'information services', 'information needs', 'information technology', 'social learning', 'computers', 'databases', 'information acquisition', 'information retrieval' and 'librarian' were appeared as important ones in understanding North Korean libraries.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.97-122
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• 2023

Metaliteracy is a new framework that reframes information literacy. Metaliteracy is distinguished from information literacy through the intruduction of postmodernism, social constructivism and metacognition. However it has been not examined whether metaliteracy studies reflect the conceptual differences. Therefore, The purpose of the study is to observe research trends of metaliteracy on the difference from information literacy. In the study, literature reviews were conducted, and frequency analysis and knowledge network analysis(co-occurrence and bibliographic coupling) were conducted for 80 metaliteracy studies. The results of the study are as follows. As a result of co-occurrence analysis, metacognition(frequency 1st) and skills(degree centrality 1st, closeness centrality 1st, betweenness centrality 1st) appeared. Since metaliteracy criticizes skill-based information literacy, the result suggests that the concepts of information literacy and metaliteracy are mixed. On the other hand, as a result of bibliographic coupling analysis, studies with high bibliographic coupling explain the difference between information literacy and metaliteracy through metacognition.

• Journal of the Korean Geographical Society
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• v.47 no.6
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• pp.975-992
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• 2012

This study analyzed the citation count of papers and authors in the field of human geography through the multidimensional scaling and social network analysis with the papers and their references published in Journal of Korean Geographical Society(Geography). The major findings of this study are as follows. Group formation of common approaches in intelligent network has not formed by cited literature in the field of human geography of a journal representing Korea. Then, each researcher should study consistently on a subject to form a school rather than diversify the field and subject of study. They also need to increase the citation count by accumulating research work with a high degree of completion. In addition, many universities with a lot of enrolled graduate students of master's and doctorate course have a responsibility to encourage the formation of school. Meanwhile, if the master's and doctoral dissertations are not official publications unlike journals, the citation of them should be avoided institutionally because it is the unique phenomena of Korea.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.2
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• pp.131-146
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• 2021

In this study, overlapping recommended books in different schools were positively analyzed and the extent to which the recommended books leading to actual loan was statistically analyzed. The purpose of the study is to confirm the effects of recommended books by analyzing the data and extracting the proofs. For the method of research, eighteen elementary schools' recommended book lists and thirteen elementary schools' loan data were collected and compared by schools, by grades in a basic statistical analysis method. The result shows that recommended books similarity was low and recommended books affected the total volume of lend books. Loan frequency by grades showed the difference and in every school, lower grades had high loan frequency. The result of this study will be applied as basic data for applying recommended books in school libraries.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.153-172
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• 2021

This study is to create a deep learning based classification model to examine the characteristics of panic disorder and to classify the panic disorder tendency literature by the panic disorder corpus constructed for the present study. For this purpose, 5,884 documents of the panic disorder corpus collected from social media were directly annotated based on the mental disease diagnosis manual and were classified into panic disorder-prone and non-panic-disorder documents. Then, TF-IDF scores were calculated and word co-occurrence analysis was performed to analyze the lexical characteristics of the corpus. In addition, the co-occurrence between the symptom frequency measurement and the annotated symptom was calculated to analyze the characteristics of panic disorder symptoms and the relationship between symptoms. We also conducted the performance evaluation for a deep learning based classification model. Three pre-trained models, BERT multi-lingual, KoBERT, and KcBERT, were adopted for classification model, and KcBERT showed the best performance among them. This study demonstrated that it can help early diagnosis and treatment of people suffering from related symptoms by examining the characteristics of panic disorder and expand the field of mental illness research to social media.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.245-246
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• 2021

본 논문에서는 차세대 서지 기술 방법인 BIBFRAME의 적용성을 향상하기 위한 사전 연구로, 공공도서관의 서지 데이터 필드를 분석하여 사용빈도가 높은 주요 필드를 선정하고 각 필드별 태그의 의미를 제시한다. 주요 필드 선정은 실제 사용 중인 최신 서지 데이터를 대상으로 분석을 진행하며, 이를 통해 공공도서관의 다양한 KORMARC 서지 데이터 필드 중 BIBFRAME 변환을 위한 주요 데이터 필드를 추출한다.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.7
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• pp.1236-1246
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• 1997

본 연구는 1960년대 미국의 청년층에 의해 일어난 반문화적인 현상으로 인식되어온 동양문화의 도입, 특히, 인도문화가 청년문화 전반에 끼친 영향과 더 나아가 이러한 환경변화가 미국대학복식에 미친 영향을 알아보고자 하였다. 1960년대 미국청년문화에 나타난 인도 문화의 영향은 철학, 종교 대중음악 등 다방면에서 보여졌으며, 또한 복식의 형태에도 반영되었다. 복식학자들에 의한 단편적인 추론에만 그쳤던 이러한 복식의 현상을 본 연구는 문헌조사에 의한 객관적이고 과학적인 연구방법을 이용하여 입증하고자 시도하였다. Washington, D.C.와 San Francisco/Berkeley 지역에 위치한 7개의 대학교에서 1960년 부터 1975년 사이에 발행한 대학신문에서 연구자료를 수집하여, 체계적인 자료수집 및 분석을 위한 연구방법으로 사회과학분야에서 주로 사용되어 온 Content Analysis Method를 이용하였다. Content Analysis Method는 예비연구(preliminary study)의 결과를 기초로 인도 복식의 영향을 받은 미국대학복식의 형태를 크게 의복(clothes), 장신구(accessories), 직물(fabrics) 등의 3개 category로 분류하여, 다시 13개의 subcategory(kurta, midriff top, Nehru jacket/suit, Indian shirt/blouse/smock/dress, sari, Indian jewelry, Indian sandal, Indian urn, Indian bedspread. Indian embroidery, Indian print, madras, tie-dye)로 세분하였다. 복식의 형태에 의한 분류외에도, 대학신문의 광고나 기사에 실린 내용을 인도복식이 미친 엮향의 정보를 알아보기 위하여 Attribution information을 3 category(originated, attributed, connotated)로 분류하여 조사하였다. 더불어, 같은 문헌에 나타난 인도에서 도입된 4개의 주된 종교(Transcendental Meditation, Hare Krishna, Yoga. Divine Light Mission)의 빈도도 조사하였다. 본 연구의 결과는 13개의 가인도복식스타일(Indian style)의 Frequency(빈도), Attribution, Duration(기간)의 내응을 포함하는 표로 요약되었다. 또한, 연도별로 Indian style이 나타난 빈도의 Duration(기간)의 내용을 포함하는 표로 요약되었다. 또한, 연도별로 Indian style이 나타난 빈도의 합계와 연도를 축으로 하는 막대그래프를 작성하고 이 그래프에 Attribution Category의 내용도 함께 볼 수 있도록 정리하였다. 대학복식에 나타난 인도의 영향은 여성복식과 남성복식에 있어서 서로 유사점과 차이점이 보이는데, 인도의 영향이 여성복식에 있어서 그 빈도가 더 높고, 종류가 더 다양함을 볼 수 있다. 여성복식에 있어서는 12가지의 다양한 인도복식스타일이 나타났으며, 그중 가장 많이 보이는 스타일은 Indian Shirt/Blouse/Smock/ Dress이며, 그 뒤를 이어 Madras, Indian lowery등을 볼 수 있다. 남성복식애 나타난 7가지의 스타일 중에는 Madras가 가장 빈도가 높으며 그외의 스타일들은 그 빈도가 매우 낮음을 볼 수 있다. 인도의 영향의 정도 (Attribution Categories) 있어서는 여성과 남성복식 모두에 있어서 인도에서 직접 수입된(originated) item이 각각 전체의 90%와 81%를 차지하여, 인도복식의 영향은 받았으나 미국내에서 제작된(attributed and connotated) item 보다 휠씬 더 많은 수를 보였다. 인도복식스타일이 가장 많이 보여지는 시기(Peak period)는 여성과 남성복식에 있어 모두 1968년에서 1971년 사이로 공통점을 보였다. 이러한 결과는 미국 청년 문화에 전반적으로 나타났던 반문화적 현상과 동일한 시기로서, 이는 사회 현상이 복식에도 반영되고 있음을 알 수 있다. 또한 같은 시기의 대학신문에 나타난 인도에서 도입된 4 개의 종교 역시 1960년대 후반 부터 그 빈도가 증가하여 1970년에 리고의 빈도가나타낭으로서 앞의 결과를 뒷받침해 주고 있다. 본 연구에서는 Washington,D.C.와 San Francisco/Berkeley 지역의 대학신문만을 연구자료로 사용하였으나 앞으로는 새로운 연구 자료의 발굴과 연구대상을 타 지역으로 확대시키므로서 미국내 전체의 청년복식에 대한 이해를 증가시킬 수 있을 것이다.