바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

지적 구조의 규명을 위한 네트워크 형성 방식에 관한 연구

A Study on the Network Generation Methods for Examining the Intellectual Structure of Knowledge Domains

한국문헌정보학회지 / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2006, v.40 no.2, pp.333-355
이재윤 (경기대학교)
  • 다운로드 수
  • 조회수

초록

이 연구에서는 지적 구조 분석을 위해서 계량서지적 자료를 시각적으로 표현하는 다양한 네트워크 형성 방식에 대해서 사례와 함께 각각의 특성을 살펴보았다. 기준값 절단 방식, 최근접이웃 그래프, 최소비용 신장트리, 패스파인더 네트워크의 네 가지 네트워크 형성 방식 중에서 전체 구조와 세부 구조의 표현 능력이 모두 뛰어난 패스파인더 네트워크 알고리즘이 최근 가장 활발히 응용되고 있다. 최근접이웃 그래프는 아직까지 계량서지적 분석에 응용된 사례는 없으나 간단한 알고리즘과 클러스터링 능력 등과 같은 지적 구조 규명에 도움이 될 수 있는 몇 가지 장점을 갖추고 있는 것으로 확인되었다. 다차원척도나 군집분석과 달리 네트워크를 이용한 시각화에서는 입력자료의 전처리에 따라서 생성된 지적 구조의 차이가 큰 것으로 나타났다. 이 연구에서 고찰한 여러 네트워크 형성 방식을 적절히 활용함으로써 국내의 지적 구조 규명 연구를 활성화할 수 있을 것이라 기대된다.

keywords
지적 구조, 네트워크 분석, 패스파인더 네트워크, 정보시각화, 계량서지학Intellectual Structure, Network Analysis, Pathfinder Network, Information Visualization, Bibliometrics, 지적 구조, 네트워크 분석, 패스파인더 네트워크, 정보시각화, 계량서지학Intellectual Structure, Network Analysis, Pathfinder Network, Information Visualization, Bibliometrics

Abstract

Network generation methods to visualize bibliometric data for examining the intellectual structure of knowledge domains are investigated in some detail. Among the four methods investigated in this study, pathfinder network algorithm is the most effective method in representing local details as well as global intellectual structure. The nearest neighbor graph, although never used in bibliometic analysis, also has some advantages such as its simplicity and clustering ability. The effect of input data preparation process on resulting intellectual structures are examined, and concluded that unlike MDS map with clusters, the network structure could be changed significantly by the differences in data matrix preparation process. The network generation methods investigated in this paper could be alternatives to conventional multivariate analysis methods and could facilitate our research on examining intellectual structure of knowledge domains.

keywords
지적 구조, 네트워크 분석, 패스파인더 네트워크, 정보시각화, 계량서지학Intellectual Structure, Network Analysis, Pathfinder Network, Information Visualization, Bibliometrics, 지적 구조, 네트워크 분석, 패스파인더 네트워크, 정보시각화, 계량서지학Intellectual Structure, Network Analysis, Pathfinder Network, Information Visualization, Bibliometrics

참고문헌

1.

(2003) 복수저자를 고려한 저자동시인용분석 연구 정보학과 컴퓨터과학을 대상으로,

2.

(2004) 17대 의원 네트워크 대해부 8월 24일,

3.

(2005) Studying the emergent 'Global Brain' in large-scale co-author networks and mapping the 'Backbone of Science',

4.

(2003) Visualizing knowledge domains, Information Today, Inc.,

5.

(2002) Term co-occurrence analysis as an interface for digital libraries,

6.

(1999) Visualising semantic spaces and author co-citation networks in digital libraries,

7.

(2003) Mapping Scientific Frontiers: The Quest for Knowledge Visualization, Springer

8.

(2004) Searching for intellectual turning points : Progressive knowledge domain visualization,

9.

(2006a) Information Visualization Beyond the Horizon 2nd edition, Springer

10.

(2006b) CiteSpace II: Detecting and visualizing emerging trends and tran- sient patterns in scientific literature,

11.

(2003) Visualizing evolving networks: Minimum spanning trees versus Pathfinder networks,

12.

(2001) Bibliometric cartography of information retrieval research by using co-word analysis,

13.

(1997) On nearest nei- ghbor graphs,

14.

(1992[cited2005) An information system using associative networks for display and retrieval Department of Computer Science University of Texas Pan American,

15.

(2000) Using CBIR and pathfinder net- works for image database visualization,

16.

(1979) Its Theory and Application in Science,

17.

(2003) Nanote- chnology - An Analysis based on Pu- blications and Patents,

18.

(2003) Longitudinal patent analysis for na- noscale science and engineering: Country, institution and technology field,

19.

(2004) Visibility of collaboration on the Web,

20.

(1956) “On the shortest spanning subtree of a graph and the traveling salesman problem ” Proceedings of the American Mathematical Soci- ety,

21.

(1995) The structure of bio- technology R and D,

22.

(2001) Contrasting views of software engi- neering journals: Author cocitation choices and indexer vocabulary assign- ments,

23.

(1990) “Mapping authors in intellectual space ” Journal of the American Society for Information Science,

24.

(2005) How human information behaviour researchers use each other's work : a basic citation analysis study,

25.

(2004) Pathfinder networks for content based image retrieval based on auto- mated shape feature discovery,

26.

Visualizing cooperation net- works of elite institutions in India,

27.

(2001) Scientific collabo- ration networks. I: Network construction and fundamental results,

28.

(2004) Coauthorship net- works and patterns of scientific collabo- ration,

29.

(2003) Co-citation count vs correlation for influence network visualization,

30.

(2005) Exploratory Social Network Analysis with Pajek, Cambridge University Press

31.

(2002) Social network analysis:also for the information sci- ences,

32.

(1990) Studies in Know- ledge Organization,

33.

(1973) “Co-citation in the sci- entific literature A new measure of the relationship between publications ” Journal of the American Society for Information Science,

34.

(1974) “The structure of scientific literatures I,

35.

(1994) “Mapping changes in science and tech- nology,

36.

(2003) Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists,

37.

(1981) A literature mea- sure of intellectual structure ” Journal of the American Society for Information Science,

38.

(2000) Co-cited author maps as inter- faces to digital libraries designing Pathfinder Networks in the humanities,

39.

(1998) Visualizing a discipline: An author cocitation analysis of information sci- ence, 1972-1995,

한국문헌정보학회지