• Title/Summary/Keyword: 인용 정체성

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A Comparative Analysis of Ego-Centered Journal Citation Identities in Library and Information Science (국내 문헌정보학 주요 저널의 자아 인용정체성 분석)

  • Hea-Jin Kim
    • Journal of the Korean Society for information Management
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    • v.41 no.2
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    • pp.1-18
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    • 2024
  • This study aims to compare ego-centered journal citation identities among four domestic journals in library and information science. Ego-centered citation identity refers to the set of authors that an author frequently cites. The target journals for this study are Journal of the Korean Society for Library and Information Science (KSLIS), Journal of the Korean Biblia Society for Library and Information Science (KBIBLIA), Journal of Korean Library and Information Science Society (KLISS), and Journal of the Korean Society for Information Management (KOSIM). As a result of citation/citee ratio (CCR), self-citing rates (SCR), and journal co-cited analysis, the journal citation identities of four journals contained the other three journals besides the ego journal and JASIST. Furthermore, KOSIM had the most diverse range of journal citation identity and the four journals mattered the intra-journal information. KLISS showed the most unique cited journal network structure among the four journals.

A bibliometric analysis on deep learning research trends (딥러닝 연구동향에 대한 계량서지적 분석)

  • Lee, Jae Yun
    • Proceedings of the Korean Society for Information Management Conference
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    • 2017.08a
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    • pp.11-14
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    • 2017
  • 딥러닝 연구동향에 대한 계량서지적 분석을 자아 중심 주제 인용분석 기법을 활용하여 시도하였다. 이를 위해서 Web of Science에서 'deep learning'으로 검색된 인용빈도 상위 15건의 논문을 핵심 논문으로 삼고, 이들 핵심 논문 15편을 인용한 논문 집합을 자아 문헌집합으로 삼았으며, 자아 문헌집합들이 인용한 주요 문헌들을 인용 정체성 문헌집합으로 설정하였다. 인용 정체성 문헌집합에 대해 동시인용분석을 실시하여 주요 문헌, 주요 연구 주제를 파악하고, 영향을 끼친 주요 선행 연구를 파악해보았다.

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Exploring a Researcher's Personal Research History through Self-Citation Network and Citation Identity (자기 인용 네트워크와 인용 정체성을 이용한 연구자의 연구 이력 분석에 관한 연구)

  • Lee, Jae-Yun
    • Journal of the Korean Society for information Management
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    • v.29 no.1
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    • pp.157-174
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    • 2012
  • This paper compares two recent methods for exploring a scientist's research history: citation identity and self-citation network. The former is proposed by White(2000), while the latter is suggested by Hellsten et al.(2007). An experimental citation analysis was carried out on the research output of Young Mee Chung, a renouned Korean information scientist. The result shows that the two methods divided the research period into two sub-periods in the same way. They also identified the major research themes very similarly. In the analysis of each method's performance in depth, the two methods revealed different functions to understand a researcher's history. Citation identity was useful to identify authors who have affected Chung's research in terms of research topics. whereas, self-citation network was successful to identify the core papers and leading papers of the research sub-periods. This study indicates the combination of two methods can provide rich information on a scientist's research history.

A Study on the Postmodern Identity in Madonna Costume -Focusing on the intertextuality- (마돈나 의상에 나타난 포스트모던 정체성없음)

  • 김주영;양숙희
    • Journal of the Korean Society of Costume
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    • v.51 no.8
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    • pp.123-139
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    • 2001
  • 본고는 공간, 시간, 계급, 종교 등 하위문화 텍스트의 병행인용 즉 상호텍스트성(intertextuality)을 통해, 20세기 대중 문화의 상징 마돈나 뮤직 비디오와 공연 등의 인체, 의상, 이미지 등에 나타난 포스트모던 정체성을 연구함으로써, 현대 미디어 문화를 관통하는 주체적 여성 정체성과 미적 주관성을 이해하고자한다. 첫째, 상호공간텍스트성 복식은 스패니쉬룩. 태국룩. 게이샤룩, 테크노펑크룩, 테크노 카우걸룩 등의 동서양의 지리적 소외감을 통해 비권위적 다양한 시선을 제시함으로써, 다국적 자본주의와 함께 확장된 미적 체험을 하게 한다.; 둘째, 상호시간텍스트성 복식은 중세 엠파이어 드레스, 18세기 로코코시대의 robe'a la francaise, 미래적 제 3의 종 룩 등 동시적 몽환적 이미지를 통해 유희적 유토피아를 지향하였다.; 셋째, 상호계급텍스트성 복식은 그라피티룩, 펑크룩, 키치룩, 먼로 룩, 보깅(voguing), 에비타 룩 등 상하류층, 하위문화, 빈부, 권력의 유무를 병행인용하여, 좋은/나쁜 취향, 창녀/성녀 이분법을 해체하고 반부르조아적 저항과 물질주의를 찬양하는 탈계급적, 양면적 정체성을 구축하였다. ; 넷째, 상호종교텍스트성 복식은 상징적 가부장인 카톨릭교 텍스트를 인용하여 펑키크리스찬 룩, 에로틱 크리스찬 룩 등의 선/악, 신성성/관능성, 미추, 정숙성/비정숙성의 이분법, 비장미를 해체함으로써 예술의 자율성, 무의식이 강조된 쾌락주의적, 반권위주의적 정체성을 주장한다. 섹슈얼리티에 있어, 시선, 권력, 쾌락의 주체가 됨으로써, 미적 범주에 있어 선악, 미추, 정숙성과 비정숙성의 이분법을 해체함으로써, 유동적 자아를 구성한 마돈나 의상의 포스트모던 정체성은 여성에게 확대된 가능성을 제공하며 내부로부터 해체된 열린 복식을 지향한다.

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Ego-centered Topic Citation Analysis on Folksonomy Research Documents (폭소노미 연구 문헌에 대한 자아 중심 주제 인용 분석)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.29 no.4
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    • pp.295-312
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    • 2012
  • This research aims to present the ego-centered topic citation analysis, which is a new application of White's ego-centered citation analysis, for analyzing multilayered knowledge structure of a subject domain. An experimental topic citation analysis was carried out on the folksonomy research documents retrieved from Web of Science. Ego-centered topic citation analyses on folksonomy research domain were conducted in three stages: ego-documents set analysis, topic citation identity analysis, and topic citation image analysis. The results showed that the ego-centered topic citation analysis suggested in this study was successfully performed to illustrate the inner and the outer knowledge structures of folksonomy research domain.

Analyzing folksonomy research documents with ego centered citation analysis (자아 중심 인용 분석을 응용한 폭소노미 연구 문헌 분석)

  • Lee, Jae Yun
    • Proceedings of the Korean Society for Information Management Conference
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    • 2012.08a
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    • pp.153-156
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    • 2012
  • White가 제안한 자아 중심 인용 분석은 연구자를 대상으로 다면적인 분석을 가능하게 하는 방법이다. 이 연구에서는 자아 중심 인용 분석을 연구자 단위가 아닌 연구 주제에 대한 분석으로 응용하는 자아 중심 주제 인용 분석 기법을 제안하고, 시험적으로 폭소노미 주제의 연구문헌 집단에 응용하여 관련 연구의 핵심 문헌들과 주요 적용 이론을 반영하는 인용 정체성과 인용 이미지를 파악해보았다.

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Deep Learning Research Trends Analysis with Ego Centered Topic Citation Analysis (자아 중심 주제 인용분석을 활용한 딥러닝 연구동향 분석)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.7-32
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    • 2017
  • Recently, deep learning has been rapidly spreading as an innovative machine learning technique in various domains. This study explored the research trends of deep learning via modified ego centered topic citation analysis. To do that, a few seed documents were selected from among the retrieved documents with the keyword 'deep learning' from Web of Science, and the related documents were obtained through citation relations. Those papers citing seed documents were set as ego documents reflecting current research in the field of deep learning. Preliminary studies cited frequently in the ego documents were set as the citation identity documents that represents the specific themes in the field of deep learning. For ego documents which are the result of current research activities, some quantitative analysis methods including co-authorship network analysis were performed to identify major countries and research institutes. For the citation identity documents, co-citation analysis was conducted, and key literatures and key research themes were identified by investigating the citation image keywords, which are major keywords those citing the citation identity document clusters. Finally, we proposed and measured the citation growth index which reflects the growth trend of the citation influence on a specific topic, and showed the changes in the leading research themes in the field of deep learning.

A Co-citation Analysis of Core Research Papers on the Korean Wave (한류 연구 핵심 문헌의 동시인용 분석)

  • Kim, Jo-Ah;Lee, Jae Yun
    • Proceedings of the Korean Society for Information Management Conference
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    • 2016.08a
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    • pp.15-18
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    • 2016
  • 전 세계적으로 부는 한류열풍으로 인해 우리나라에 대한 관심이 증대되고 있으며 이에 따른 한류 관련 연구의 수 또한 증가하고 있다. 따라서 본 연구에서는 한류 연구의 핵심 문헌을 선정하고 이를 대상으로 동시인용 분석을 수행하여 한류 연구의 지적구조를 파악하고자 하였다. 이를 위하여 KCI 인용 데이터베이스에서 국내 한류 연구 문헌 116건과 2,042건의 인용정보를 수집하였다. 문헌동시인용기법을 활용하여 분석한 결과 한류 연구 영역을 한류의 파급효과와 영향력 관련 영역, 한류의 정체성 관련 영역으로 2개의 대군집과 5개의 중군집으로 구분 지을 수 있었다.

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The Co-occurrence Phenomenon of Both Korean and Non-Korean Literatures Within the Korean References - An Analysis on the Citation Motivations and References by Social Scientists - (참고문헌의 동시공존현상 - 한국 사회과학자들의 인용동기와 참고문헌의 분석 -)

  • Kim, Kap-Seon
    • Journal of the Korean Society for Library and Information Science
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    • v.36 no.4
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    • pp.21-47
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    • 2002
  • The present study, on the bass of a premise that reference lists are one of the social products, reflecting various social environments of their own society, was made as part of an attempt to explore the co-occurrence phenomenon of both Korean and Non-Korean Literatures occurred within the Korean references. 321 authors (articles) of 43 Korean journals on Social Sciences were surveyed on research channels and citation motivations and their 11358 references were analyzed. The findings are as follows : 1) The extent of the co-occurrence was that Non-Korean literatures were more 1.9 times (65.3%) cited than Korean ones and English (61.5%)-American (50.4%) predominancy was heavily found. 2) Research channel, worked as an indicator of the identity of researcher as well as the source of research ideas was most Non-Korean channel orientedness (55.8%). 3) Citation motivations were significantly depended on whether Korean or Non-Korean literatures and non-Korean literatures were cheifly cited to be conceptual motivations than other motivations. 4) Research channel among variables was worked as a main effect predicting major citation motivations on Non-Korean literatures. Finally, this study is very suggestive : 1) It might be a new approach and interpretation by adopting citation motivations to explore a process of knowledge producting of researchers 2) Partly, it proved empirically the relationship of knowledge producted by Korean researchers to Non-Korean knowledge through the analysis of citation motivations.

The Main Path Analysis of Korean Studies Using Text Mining: Based on SCOPUS Literature Containing 'Korea' as a Keyword (텍스트 마이닝을 활용한 한국학 주경로(Main Path) 분석: '한국'을 키워드로 포함하는 SCOPUS 문헌을 대상으로)

  • Kim, Hea-Jin
    • Journal of the Korean Society for information Management
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    • v.37 no.3
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    • pp.253-274
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    • 2020
  • In this study, text mining and main path analysis (MPA) were applied to understand the origins and development paths of research areas that make up the mainstream of Korean studies. To this end, a quantitative analysis was attempted based on digital texts rather than the traditional humanities research methodology, and the main paths of Korean studies were extracted by collecting documents related to Korean studies including citation information using a citation database, and establishing a direct citation network. As a result of the main path analysis, two main path clusters (Korean ancient agricultural culture (history, culture, archeology) and Korean acquisition of English (linguistics)) were found in the key-route search for the Humanities field of Korean studies. In the field of Korean Studies Humanities and Social Sciences, four main path clusters were discovered: (1) Korea regional/spatial development, (2) Korean economic development (Economic aid/Soft power), (3) Korean industry (Political economics), and (4) population of Korea (Sex selection) & North Korean economy (Poverty, South-South cooperation).