• Title/Summary/Keyword: 동시인용

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An Experimental Study of Cocitation Analysis on Web Information (웹 정보원의 동시인용분석에 관한 실험적 연구)

  • 정동열;최윤미
    • Journal of the Korean Society for information Management
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    • v.16 no.2
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    • pp.7-26
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    • 1999
  • This experimental study examines informetric analysis of World Wide Web based upon cocitation analysis of Web pages and features of Web resources in the field of communication studies. Cocitation analysis is basically performed to examine the intellectual structure of the communication studies in reflecting link count on the Web. The selected Web resources in the field are mapped in two dimensions based upon the similarities of cocitation frequency, correlation matrix, mutidimensional scale and cluster analysis. Cocitation analysis methods using organizational homepage, personal homepage, or Web index, to Web produced clustering of Web resources that had topical similarities. So far, although informetric analysis of Web resources is in the preliminary stage, it shows that Web can be a new tool for indicating the intellectual structure of a specific research field. In addition, this study analyzes characteristics of printing resources and Web resources, and differences of research methods in applying cocitation analysis.

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Curve Estimation among Citation and Centrality Measures in Article-level Citation Networks (문헌 단위 인용 네트워크 내 인용과 중심성 지수 간 관계 추정에 관한 연구)

  • Yu, So-Young
    • Journal of the Korean Society for information Management
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    • v.29 no.2
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    • pp.193-204
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    • 2012
  • The characteristics of citation and centrality measures in citation networks can be identified using multiple linear regression analyses. In this study, we examine the relationships between bibliometric indices and centrality measures in an article-level co-citation network to determine whether the linear model is the best fitting model and to suggest the necessity of data transformation in the analysis. 703 highly cited articles in Physics published in 2004 were sampled, and four indicators were developed as variables in this study: citation counts, degree centrality, closeness centrality, and betweenness centrality in the co-citation network. As a result, the relationship pattern between citation counts and degree centrality in a co-citation network fits a non-linear rather than linear model. Also, the relationship between degree and closeness centrality measures, or that between degree and betweenness centrality measures, can be better explained by non-linear models than by a linear model. It may be controversial, however, to choose non-linear models as the best-fitting for the relationship between closeness and betweenness centrality measures, as this result implies that data transformation may be a necessary step for inferential statistics.

A Study on the Intellectual Structure Using Cocitation Analysis (논문의 동시인용을 통한 지적(知的)구조의 규명에 관한 연구)

  • Kim, Young-Jin
    • Journal of the Korean Society for information Management
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    • v.3 no.1
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    • pp.103-135
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    • 1986
  • In this thesis, author cocitation analysis with 45 authors in the field of sociology in general and document cocitation analysis in the specific area of family sociology were executed. The purpose of this study is to examine the meaning of bibliographic phenomena in Korean sociological literature by means of a new bibliometric technique, cocitation analysis, and to approach the intellectual structure of that field in view of multidimensional space.

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Bibliographic Author Coupling Analysis: A New Methodological Approach for Identifying Research Trends (서지적 저자결합분석 - 연구동향 분석을 위한 새로운 접근 -)

  • Lee, Jae-Yun
    • Journal of the Korean Society for information Management
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    • v.25 no.1
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    • pp.173-190
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    • 2008
  • Author co-citation analysis(ACA) technique has been widely used for identifying research areas and trends in a discipline. But this technique has some limitations, mainly due to citation delay, on analyzing current trends and identifying active researchers. In this study, a new method, named as Bibliographic Author Coupling Analysis (BACA), is suggested for overcoming those limitations of author co-citation analysis. BACA is based on Kessler's bibliographic coupling approach and focuses not on documents but on authors. Simply stated, BACA technique assumes that those likewise citing authors have the same research interests. For the purpose of comparing with author co-citation analysis, two preceding studies with author co-citation analysis are reconsidered and re-examined using BACA. The comparing results can be regarded as promising the usefulness of BACA in analyzing current research trends and identifying active researchers.

A Study on Knowledge Network Analysis of Social System Theory: Focused on Follow-up Studies on Niklas Luhmann (사회적 체계 이론의 지식 네트워크 분석 연구 - Niklas Luhmann의 후속연구를 중심으로 -)

  • Park, Seongwoo;Hong, Soram
    • Journal of Korean Library and Information Science Society
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    • v.53 no.1
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    • pp.191-210
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    • 2022
  • Niklas Luhmann is a sociologist who has had a strong influence on other disciplines. Therefore, it is necessary to examine what Luhmann's theory has influenced on his subsequent researchers. This study analyzed the knowledge network of studies on Niklas Luhmann's theory by follow-up researchers. Bibliographic coupling and co-citation were used as the analysis method of knowledge network. The main results are as follows. First, the language clusters were divided into Latin American / Spanish-speaking regions, Western Europe / Anglo-American regions, Eastern / Northern Europe and other language regions through bibliographic coupling analysis. Second, from the node analysis of bibliographic coupling, It was divided into 2 main cases: where Luhmann's major works were cited; where Luhmann's minor works were cited. Third, it was found that there are the core work groups that are repeatedly cited among Luhmann's works. Fourth, 12 core works were derived from the node analysis of the co-citation network, and appeared in four groups according to themes.

Identifying the Research Fronts in Korean Library and Information Science by Document Co-citation Analysis (문헌동시인용 분석을 통한 한국 문헌정보학의 연구 전선 파악)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.32 no.4
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    • pp.77-106
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    • 2015
  • By document co-citation analysis with Korean Citation Index (KCI) data, this study accurately identified the research fronts and hot topics in Korean library and information science (LIS) from 2004 to 2013. 159 core papers in LIS domain and their citations are scraped manually from Korean Citation Index web site. In the cluster analysis and network analysis, 159 core papers were grouped into 27 clusters with multiple papers and 8 singlton clusters. Among the 27 clusters which have multple papers, 'LIS education' cluster was the largest with 16 core papers, and 'citation analysis & intellectual structure analysis' cluster had the strongest citation impact according to the ehs-index. Closer observation of the citations to the core papers in each research front showed that 67.5% of the citations were made by LIS research papers and 32.5% of the citations were made by non-LIS research papers. Considering the share of citations and the citation impact growth index, 'local documentation', 'citation analysis & intellectual structure analysis', and 'research trends analysis' were identified as the most emerging research front in Korean library and information science. The analytical methods used in this study have great potential in discovering the characteristics of research fronts in Korean interdisciplinary research domains.

Analysis of SCI Journals Cited by Korean Journals in the Computer field

  • Kim, Byungkyu;You, Beom-Jong;Kang, Ji-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.79-86
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    • 2019
  • It is very important to analyze and provide information resources for research output produced in the computer field, the core science of the 4th Industrial Revolution. In this paper, SCI journals cited from domestic journals in the computer field were identified and the citation rankings and their co-citation networks were generated, analyzed, mapped and visualized. For this, the bibliographic and citation index information from 2015 to 2017 in the KSCD were used as the basis data, and the co-citation method and network centrality analysis were used. As a result of this study, the number of citations and the citation ranks of SCI journals and papers cited by korean journals in the computer field were analyzed, and peak time(2 years), half-life(6.6 years), and immediacy citation rate(2.4%) were measured by citation age analysis. As a result of network centrality analysis, Three network centralities(degree, betweenness, closeness) of the cited SCI journals were calculated, and the ranking of journals by each network centrality was measured, and the relationship between the subject classifications of the cited SCI journals was visualized through the mapping of the network.

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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An Analysis of the Intellectual Structure of the LIS Field: Using Journal Co-citation Analysis (학술지 동시인용분석을 이용한 문헌정보학 분야의 지적구조 분석)

  • Kim, Hyunjung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.99-113
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    • 2013
  • The study investigated the intellectual structure of the library and information science field by journal co-citation analysis on thirty LIS journals with high journal impact factors. Patterns of journal-to-journal citation show the structure of journals in the field, visualized by a networked map of the journals. The result shows journals that can be considered as the core group and as the peripheral group, which corresponds to other studies for investigating the field's intellectual structure using other techniques, such as cluster analysis and multidimensional scaling.

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.