초록

Abstract

This study examined two characteristics of library and information science (LIS) journals in Korea through analysis of journal coupling with common authors. This study also illustrated the trend of Korean LIS research in the recent decade. The notable change is that record management and archival studies settle in LIS domain as a major research area. We introduced two indicators, Publishing Preference Index (PPI) and Researcher Attraction Index (RAI), based on the degree of common authors among journals. Both indicators revealed notable changes in author coupling, including reversal of PPIs in some journals, which can be interpreted as proof of changes in their author groups. The RAI analysis, which measured the degree of journals’ attractiveness to Korean LIS researchers and author sharing between two journals, illustrated the journals’ states in a domain; this result can help find both an isolated journal and strongly bonded journals in the specific domain. Journal coupling with common authors introduced in this study proved to be an effective investigative method for illustrating journals’ states in a specified domain as well as a multidisciplinary area.

초록

본 논문은 국내 인문사회과학 학술지의 오픈액세스 전환 방안을 모색하기 위하여 최근 해외에서 전개되고 있는 오픈액세스 학술지 전환 사례를 분석하였다. 연구자가 주도한 Ling OA와 UP, 도서관이 주도한 OLH와 KU, 출판사가 주도한 S2O모델, 기금기관과 도서관이 협력하는 L+F모델 사례를 분석하고 국가지원 사업 사례로서 노르웨이 연구위원회와 교육연구부, 캐나다 인문사회과학연구위원회, 오스트리아 과학재단, 스위스 인문사회과학 아카데미의 프로그램을 분석하였다. 분석결과를 기반으로 국내 인문사회과학 학술지의 오픈액세스 전환을 위하여 다음을 제안하였다. 1) 오픈액세스 출판전환 지원이 국가적인 차원에서 진행되어야 하며, 2) 국가, 대학, 도서관, 학회 등 학술커뮤니케이션 모든 주체가 참여하되 오픈액세스 출판비용 부담의 핵심주체는 연구기금지원기관과 도서관이어야 하며, 3) 초기 단계에서는 국가차원의 비용지원이 이루어져야하며, 4) 오픈액세스 학술지 구독을 위한 대학도서관 협의체 및 국가정보서비스 기관들이 참여하는 컨소시엄이 구성되어야 하며, 5) 비영리 출판유통 플랫폼이 개발 및 보급되어야 한다.

Abstract

This study analyzed recent cases of transition to open access(OA) journals in humanities and social sciences(HSS) in foreign countries to find a way to transition to OA journals in Korea. Ling OA and UP led by researchers, OLH and KU led by libraries, S2O led by publishers and L+F model led by funders and libraries were analyzed. Programs by national funding agencies such as the Norwegian Research Council, Canada Social Sciences and Humanities Research Council, Austrian Science Fund, and Swiss Academy of Humanities and Social Sciences were also reviewed. Based on the results of the analyses, this study suggests for transition in Korean HSS field as follows; 1) transitions to open access journals in HSS should be supported at national level 2) the stakeholder in scholarly communications such as the nation, universities, libraries, research funders, scholarly societies etc has their own role in the transition but funders and libraries are the most important in financial support for open access publishing 3) but the financial support for the first stage of the transition should be done at national level 4) and open access journal publishing consortium comprised of libraries and information service institutions in the public sector such as KERIS, KISTI and the national library should be established 5) non commercial publishing platforms for scholarly societies should be developed and distributed.

초록

패스파인더 네트워크를 사용하여 지적 구조의 분석과 규명을 시도한 여러 연구가 발표되었다. 패스파인더 네트워크는 다차원척도법에 비해서 여러 장점을 가지고 있지만 구축 알고리즘의 복잡도가 매우 높아서 실행 시간이 오래 걸리며, 전통적인 지적 구조 분석에 유용하게 사용되어온 군집분석을 함께 적용하기가 어려운 것이 단점이다. 이 연구에서는 이와 같은 패스파인더 네트워크의 약점을 보완할 수 있는 새로운 기법으로 병렬 최근접 이웃 클러스터링(PNNC) 기법을 제안하였다. PNNC 기법의 클러스터링 성능을 전통적인 계층적 병합식 클러스터링 기법들과 비교해본 결과 효과성과 효율성 양면에서 기존 기법보다 우세한 것으로 확인되었다.

Abstract

Recently there are many bibliometric studies attempting to utilize Pathfinder networks(PFNets) for examining and analyzing the intellectual structure of a scholarly field. Pathfinder network scaling has many advantages over traditional multidimensional scaling, including its ability to represent local details as well as global intellectual structure. However there are some limitations in PFNets including very high time complexity. And Pathfinder network scaling cannot be combined with cluster analysis, which has been combined well with traditional multidimensional scaling method. In this paper, a new method named as Parallel Nearest Neighbor Clustering (PNNC) are proposed for complementing those weak points of PFNets. Comparing the clustering performance with traditional hierarchical agglomerative clustering methods shows that PNNC is not only a complement to PFNets but also a fast and powerful clustering method for organizing informations.