Mapping the structure and development of Science using co-citation analysis

Surwase, G., Kademani, B. S. and Bhanumurthy, K. Mapping the structure and development of Science using co-citation analysis., 2012 . In National Workshop on Using Different Metrics for Assessing Research Productivity, New Delhi (India), 16-17 February 2012. [Conference paper]

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English abstract

Co-citation analysis is a unique method used for studying the cognitive structure of science andassessing the research productivity. It is a research tool for examining the intellectual development and structure of the scientific discipline. This paper illustrates principles, techniques and applications of co-citation analysis. It also introduces the newly emerging co-citation analysis softwares,especially SciVal Spotlight and CiteSpace. Co-citation analysis is based on grouping together the papers that are frequently cited in pairs. Combined with single-link clustering and multidimensional scaling techniques, co-citation analysis can literally map the structure of specialized research areas as well as science as a whole.

Item type: Conference paper
Keywords: Co-citation analysis, co-citation matrix, co-citation network, bibliographic coupling, knowledge mapping, SciVal Spotlight, CiteSpace.
Subjects: I. Information treatment for information services
Depositing user: Anil Sagar
Date deposited: 13 Sep 2012
Last modified: 02 Oct 2014 12:23
URI: http://hdl.handle.net/10760/17528

References

1. Boyack, KW &Klavans, R 2010, 'Co-citation analysis, bibliographic coupling, and direct citation: which citation approach represents the research front most accurately?’ Journal of the American Society for Information Science and Technology, vol. 61, no. 12, pp. 2389–2404.

2. Chen, C 2004, ‘Searching for intellectual turning points: progressive knowledge domain visualization’, Proc. Nat. Acad. Sci., vol. 101(Suppl.), pp. 5303-5310.

3. Chen, C 2006, ‘CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature’, Journal of American Soc. Info. Sci. and Technology, vol. 57, no. 3, pp. 359-377.

4. Chen, C,Ibekwe-SanJuan, F,Hou, J 2010, ‘The structure and dynamics of co-citation clusters: a multiple-perspective co-citation analysis’, Journal of American Soc. Info. Sci. and Technology, vol. 61, no. 7, pp. 1386-1409.

5. Culnan, MJ 1987, ‘Mapping the intellectual structure of MIS, 1980-1985: a co-citation analysis’, MIS Quarterly, vol. 11, no. 3, pp. 341-353.

6. Egghe, L 2005, ‘Expansion of the field of informetrics: origins and consequences’, Information Processing and Management, vol. 41, no. 6, pp. 1311-1316.

7. Elsevier BV 2009, ‘Co-citation analysis: the methodology of SciVal Spotlight’, (http://www.americalatina.elsevier.com/sul/pt-br/scival/pdf/Co-citation_Analysis_SciVal_Spotlight.pdf).

8. Elsevier BV 2010, ‘Identifying organizational inefficiencies in research institutions’, (http://www.info.scival.com/UserFiles/SciVal_Perspectives_Identifying_Organizational_Perspective.pdf)

9. Kessler, MM 1963, ‘Bibliographic coupling between scientific papers’, American Documentation, vol. 24, pp. 123-131.

10. Leydesdorff, L 2005, ‘Similarity measures, author co-citation analysis, and information theory’, Journal of the American Society for Information Science & Technology, vol. 56, no. 7, pp. 769-772.

11. Leydesdorff, L & Vaughan, L 2006, 'Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment', Journal of the American Society for Information Science and Technology, vol. 57, no. 12, pp. 1616–1628.

12. Marshakova, IV 1973, ‘A system of document connection based on references’, Scientific and Technical Information Serial of VINITI, vo. 6, no. 2, pp. 3-8.

13. McCain, KW 1991, ‘Mapping economics through the journal literature: an experiment in journal co-citationanalysis’, Journal of the American Society for Information Science, vol. 42, no. 4, pp. 290-296.

14. Small, H 1973, ‘Co-citation in the scientific literature: a new measure of the relationship between two documents’, Journal of the American Society for Information Science (JASIS), vol. 24, no. 4, pp. 265-269.

15. Small, H 1974, ‘Co-citation in the scientific literature: a new measure of the relationship between two documents’, in: Essays of an Information Scientist, vol. 2, pp. 28-31.

16. Small, H 1977, ‘A co-citation model of a scientific specialty: a longitudinal study of collagen research’, Social Studies of Science, vol. 7, pp. 139-166.

17. Small, H & Garfield, E 1985, ‘The geography of science: disciplinary and national mappings’, Journal of Information Science, vol. 11, pp. 147-59.

18. Small, H & Garfield, E 1993, ‘Co-citation analysis of science: Henry Small on mapping the collective mind of science’, Current Comments, May 10, 1993.

19. Smith, LC 1981, ‘Citation analysis’, Library Trends, pp. 83-106.

20. Steven, N,Chu, CH, Raghavan, V2002, ‘Visualization of document co-citation counts’, in: Proceedings of the 6th International Conference on Information Visualization, London, England, July 2002.

21. Steyvers, M 2002, ‘Multidimensional scaling’, in: Encyclopedia of Cognitive Science. Macmillan Reference Ltd.

22.Surwase, G, Sagar, A, Kademani, BS, Bhanumurthy, K 2011, ‘Co-citation analysis: an overview’, National Conference on Beyond Librarianship (NCBL-2011). September 16-17, 2011, Mumbai (India), pp. 196-206.

23. White, HD & Griffith, BC 1981, ‘Author co-citation: aliterature measure of intellectual structure’, Journal of the American Society for Information Science (JASIS), vol. 32, no. 3, pp. 163-171.


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