[논문]학술지 동시인용분석을 이용한 문헌정보학 분야의 지적구조 분석

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doi:10.14699/kbiblia.2013.24.4.099

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

한국비블리아학회지 = Journal of the Korean Biblia Society for Library and Information Science, v.24 no.4, 2013년, pp.99 - 113

초록
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본 연구는 학술지를 이용한 동시인용분석을 통해 문헌정보학 분야의 지적구조를 분석하고자 하였다. Journal Citation Reports의 Journal Impact Factor를 바탕으로 선택한 문헌정보학 분야의 30개 학술지를 대상으로 조사된 동시인용 수치를 이용하여 네트워크 분석을 시행하였으며, 이 연구의 결과를 통해 어떤 학술지가 이 분야의 주요한(core) 학술지이며 그렇지 않은 학술지는 어떤 것들이 있는지 파악할 수 있다. 네트워크 분석을 통해 비교적 간단한 방법으로 얻어진 결과임에도 불구하고, 군집분석이나 다차원축적법 같은 통계적 접근법을 통한 대부분의 지적구조분석과 매우 유사한 결과를 보여주었다.

Abstract ▼ AI-Helper

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.

주제어

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문제 정의

The purpose of this study is to investigate the intellectual structure of the library and information science field by identifying core journals of the field as well as their subject fields. Co-citation patterns of journals will be analyzed using network analysis, and subject categories of the journals will be used to help examining the intellectual structure of the field as well as discerning which subject specialties are related to the core journals.

제안 방법

MDS was used for mapping of 50 authors with a correlation coefficients matrix but not successful in distinguishing the relationships between authors because of the weak correlations tendency between authors. Cluster analysis was performed to generate clusters of authors with similar characteristics, and it yielded 13 distinct clusters representing subfields of library and information science, such as library management, information retrieval, reference service, cataloging and classification, bibliometrics, and bibliographies. Factor analysis was used for confirmation of the cluster analysis result and revealed that the result of the factor analysis and the cluster analysis were quite well matched.
The purpose of the study was to investigate the intellectual structure of the library and information science field by identifying core journals of the field as well as their subject fields. The study analyzed co-citation patterns of 30 journals in the library and information science field using network analysis, and the result showed four main subject clusters including management, general area of the LIS, bibliometric studies, and communication.
The study also investigated the very first used index terms of each year during the period between 1978 and 2001 and examined the frequency of each “first used” index term appeared in journal documents.
The purpose of the study was to investigate the intellectual structure of the library and information science field by identifying core journals of the field as well as their subject fields. The study analyzed co-citation patterns of 30 journals in the library and information science field using network analysis, and the result showed four main subject clusters including management, general area of the LIS, bibliometric studies, and communication. Among those four clusters, journals categorized under the subject of “management” and general area of the LIS were located in the center of the networked map, and journals related to other areas of research were located in the periphery of the network.
Yoon and Seo (2001) investigated the intellectual structure of Korean library and information science in 1990s using author co-citation analysis. They analyzed author co-citation data from three library and information science journals from 1990 through 1999, using MDS, cluster analysis, factor analysis, and crosstab analysis. MDS was used for mapping of 50 authors with a correlation coefficients matrix but not successful in distinguishing the relationships between authors because of the weak correlations tendency between authors.

대상 데이터

Using a methodology called “Critical Delphi” with a panel of 57 scholars from 16 countries, the study incorporated reflections regarding schemes of classifying the knowledge structure of information science from 28 panel members.

이론/모형

PNNC is a “fast and powerful clustering method” (Lee 2006, 215) that uses an algorithm generating clusters based on the network’s links and determining the number of clusters based on similarity distributions of the data.

성능/효과

As a very logical and natural development, the term ‘document delivery’, ‘metadata’, and ‘retrieval engine’ were used as research topics in 1996, and research in 2000 showed changes of research trends and rise of other aspects of the field, such as ‘record management’ and ‘knowledge management’. As the researcher admitted, the indexing term-based analysis method was not very successful in explaining the intellectual structure of library and information science, but it confirmed that the intellectual structure of the traditional classification system served the purpose of classifying library materials.
(2010) also investigated the digital library research field using journal and descriptor profiling methods, and generated maps with distinctive journal clusters and descriptor clusters. The results showed 11 descriptor clusters with representative journals, including knowledge management, online cataloguing formats, online information retrieval, world wide web, online reference work, and distance learning.

후속연구

When using authors as the unit of analysis, the first 500 results may be sufficient to include all the publications citing the author, but most journals usually have more than 500 references that are citing articles in the journal even though the timespan is limited to less than two years. Also, further research is suggested for more complete analysis on the growth of knowledge in the library and information science field. In addition, although using network analysis appears to be useful in distinguishing core journals from peripheral journals in the field, it does not provide more detailed information about underlying structure beyond the core-periphery distinction.

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