Hybrid clustering analysis for mapping large scientific domains

12th International Conference on Scientometrics and Informetrics, ISSI 2009

Volumn , Issue , 2009, Pages 178-188

  Zhang, Lin ^a,b   Janssens, Frizo ^a,c   Liang, Liming ^b,d   Glänzel, Wolfgang ^a,e  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^c Attentio SA/NV   (Belgium)

^d HENAN NORMAL UNIVERSITY   (China)

^e INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; INFORMATION SCIENCE;

AGGLOMERATIVE HIERARCHICAL CLUSTERING; CLASSIFICATION PROCESS; CLASSIFICATION SCHEME; CLUSTERING PROCESS; COGNITIVE PERSPECTIVES; HYBRID CLUSTERING; INFORMATION FLOWS; SCIENCE INDICATORS;

CLUSTERING ALGORITHMS;

EID: 77949263852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Batagelj, V. & Mrvar, A. (2002). Pajek - Analysis and visualization of large networks. Graph Drawing, 2265, 477-478, ISSN.
2. Borgatti, S.P. (2002), Netdraw network visualization. Analytic Technologies: Harvard, MA.
3. Börner, K., Chen, C. & Boyack, K.W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255.
4. Braam, R., Moed, H., & Van Raan, A. (1991). Mapping of science by combined co-citation and word analysis. 2. Dynamical aspects. Journal of the American Society for Information Science, 42(4), 252-266.
5. Brin, S. & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30, 1-7, 107-117.
6. Calado, P.; Cristo, M.; Goncalves, M.A.; de Moura, E.S., Ribeiro-Neto, B. & Ziviani, N. (2006). Linkbased similarity measures for the classification of web documents. Journal of the American Society for Information Science, 57, 2, 208-221.
7. Garfield, E. (1998). Mapping the world of science. The 150 Anniversary Meeting of the AAAS, Philadelphia, PA, http://www.garfield.library.upenn.edu/ papers/mapsciworld.html.
8. Glänzel, W. & Czerwon, H.J. (1996). A new methodological approach to bibliographic coupling and its application to the national, regional and institutional level. Scientometrics, 37, 2, 195-221.
9. Glenisson, P.; Glänzel, W. & Persson, O. (2005a). Combining full-text analysis and bibliometric indicators. A pilot study. Scientometrics, 63, 1, 163-180.
10. Glenisson, P.; Glänzel, W; Janssens, F. & De Moor, B. (2005b). Combining full text and bibliometric information in mapping scientific disciplines. Information Processing & Management, 41, 6, 1548- 1572.
11. He, X.; Ding, C.H.Q.; Zha, H. & Simon, H.D. (2001). Automatic topic identification using webpage clustering. Proceedings of the 2001 IEEE International Conference on Data Mining, (pp. 195- 202). Washington, DC, USA, IEEE Computer Society.
12. He, X.; Zha, H.; Ding, C.H.Q. & Simon, H.D. (2002). Web document clustering using hyperlink structures. Computational Statistics & Data Analysis, 41, 1, 19-45.
13. Jain, A. & Dubes, R. (1988). Algorithms for Clustering Data. Prentice Hall, New Jersey.
14. Janssens F., Leta J., Glanzel W. & De Moor B. (2006). Towards Mapping Library and Information Science. Information Processing & Management, Special Issue on Informetrics, 42, 6, 1614-1642.
15. Janssens, F.; Glänzel, W. & De Moor, B. (2007a). Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp. 360-369). ISBN 978-1- 59593-609-7, San Jose, CA, USA, August 2007, ACM, New York.
16. Janssens, F. (2007b). Clustering of scientific fields by integrating text mining and bibliometrics, PhD Thesis, Faculty of Engineering, Katholieke Universiteit Leuven, Belgium, http://hdl.handle.net/1979/847.
17. Janssens, F.; Glanzel, W. & De Moor, B. (2008). A hybrid mapping of information science. Scientometrics, 75, 3, 607-631.
18. Janssens, F., Lin, Z. & Glänzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing & Management, to be published.
19. Leydesdorff, L. (2004a). Clusters and maps of science journals based on bi-connected graphs in the Journal Citation Reports. Journal of Documentation, 60, 4, 371-427.
20. Leydesdorff, L. (2004b). Top-down decomposition of the Journal Citation Report of the Social Science Citation Index: Graph- And factor-analytical approaches. Scientometrics, 60, 2, 159-180.
21. Leydesdorff, L. (2006). Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Reports? Journal of the American Society for Information Science & Technology, 57, 5, 601-613.
22. Modha, D.S. & Spangler, W.S. (2000). Clustering hypertext with applications to web searching. Proceedings of the 11th ACM International Conference on Hypertext and Hypermedia (pp. 143- 152). New York, NY, USA, ACM Press.
23. Moya-Anegon F, Vargas-Quesada B, Herrero-Solana V, et al. (2004). A new technique for building maps of large scientific domains based on the cocitation of classes and categories. Scientometrics, 61, 1, 129-145.
24. Newman, M.E.J. & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69, 2.
25. Newman, M.E.J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences of the United States of America, 103, 23, 8577-8582.
26. Pinski, G. & Narin, F. (1976). Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics. Information Processing and Management, 12, 5, 297-312.
27. Rousseeuw, P. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 1, 53-65.
28. Salton, G. & Mcgill, M.J. (1986). Introduction to Modern Information Retrieval, McGraw-Hill, Inc, New York.
29. Schubert, A., Glänzel, W., Braun, T. (1989). Scientometric Datafiles. A comprehensive set of indicators on 2649 journals and 96 countries in all major fields and subfields 1981-1985. Scientometrics, 16, 1-6, 3-478.
30. Zhang, L., Glänzel, W. & Liang, L.M. (2009a). Tracing the role of individual journals in a crosscitation network based on different indicators, Scientometrics, to be published.
31. Zhang, L., Janssens, F., Liang, L.M. & Glänzel, W. (2009b). Journal Cross-citation analysis for validation and improvement of journal-based subject classification in Bibliometric research, Scientometrics, to be published.