Hybrid clustering for validation and improvement of subject-classification schemes

Information Processing and Management

Volumn 45, Issue 6, 2009, Pages 683-702

  Janssens, Frizo ^a,b   Zhang, Lin ^a,c   Moor, Bart De ^a   Glänzel, Wolfgang ^a,d  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b Attentio SA/NV   (Belgium)

^c DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^d INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Hybrid clustering; Journal cross citation; Mapping of science; Subject classification

Indexed keywords

CITATION GRAPHS; CLASSIFICATION SCHEME; COGNITIVE CHARACTERISTICS; COHERENT STRUCTURE; HYBRID CLUSTERING; HYBRID METHOD; JOURNAL CROSS-CITATION; MAPPING OF SCIENCE; PAGERANK ALGORITHM; SCIENCE INDICATORS; SELECTION CRITERIA; SUBJECT CLASSIFICATION; TEXT MINING; TWO-COMPONENT; WEB OF SCIENCE;

CLUSTER ANALYSIS; LABELS; MINING;

HYBRID SENSORS;

EID: 69249213884     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2009.06.003     Document Type: Article

References (57)

1. Bader B.W., and Kolda T.G. Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Transactions on Mathematical Software 32 4 (2006) 635-653
2. Baeza-Yates R., and Ribeiro-Neto B. Modern information retrieval (1999), Addison-Wesley, Cambridge
3. Batagelj V., and Mrvar A. Pajek - analysis and visualization of large networks. In: Jünger M., and Mutzel P. (Eds). Graph drawing software (2003), Springer, Berlin 77-103
4. Ben-Hur, A., Elisseeff, A., & Guyon. I. (2002). A stability based method for discovering structure in clustered data. In Pacific symposium on biocomputing (pp. 6-17).
5. Berry M., Dumais S.T., and O'brien G.W. Using linear algebra for intelligent information retrieval. SIAM Review 37 4 (1995) 573-595
6. Boyack K.W., Börner K., and Klavans R. Mapping the structure and evolution of chemistry research. Scientometrics 79 1 (2009) 45-60
7. Braam R.R., Moed H.F., and Van Raan A.F.J. Mapping of science by combined co-citation and word analysis, part I: Structural aspects. JASIS 42 4 (1991) 233-251
8. Braam R.R., Moed H.F., and Van Raan A.F.J. Mapping of science by combined co-citation and word analysis, part II: Dynamical aspects. JASIS 42 4 (1991) 252-266
9. Brin S., and Page L. The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems 30 1-7 (1998) 107-117
10. Calado P., Cristo M., Goncalves M.A., de Moura E.S., Ribeiro-Neto B., and Ziviani N. Link-based similarity measures for the classification of web documents. JASIST 57 2 (2006) 208-221
11. Callon M., Courtial J.P., Turner W.A., and Bauin S. From translations to problematic networks - An introduction to co-word analysis. Social Science Information 22 2 (1983) 191-235
12. In: Callon M., Law J., and Rip A. (Eds). Mapping the dynamics of science and technology: Sociology of science in the real world (1986), Macmillan Press, London
13. Deerwester S., Dumais S.T., Furnas G.W., Landauer T.K., and Harshman R. Indexing by latent semantic analysis. JASIS 41 6 (1990) 391-407
14. Fano R.M. Information theory and the retrieval of recorded information. In: Shera J.H., Kent A., and Perry J.W. (Eds). Documentation in action (1956), Reinhold Publ. Co, New York 238-244
15. Garfield E. ISIS atlas of science may help students in choice of career in science. Current Contents 29 (1975) 5-8
16. Garfield E. The encyclopedic ISI atlas of science launches three new sections - Biochemistry, immunology, and animal & plant sciences. Current Contents 7 (1988) 3-8
17. Geraci F., Maggini M., Pellegrini M., and Sebastiani F. Cluster generation and labeling for web snippets: A fast, accurate hierarchical solution. Internet Mathematics 3 4 (2008) 413-444
18. Glänzel W., and Czerwon H.J. A new methodological approach to bibliographic coupling and its application to the national, regional and institutional level. Scientometrics 37 2 (1996) 195-221
19. Glenisson P., Glänzel W., Janssens F., and De Moor B. Combining full text and bibliometric information in mapping scientific disciplines. Information Processing & Management 41 6 (2005) 1548-1572
20. Glenisson P., Glänzel W., and Persson O. Combining full-text analysis and bibliometric indicators. A pilot study. Scientometrics 63 1 (2005) 163-180
21. Halkidi M., Batistakis Y., and Vazirgiannis M. On clustering validation techniques. Journal of Intelligent Information Sustems 17 2-3 (2001) 107-145
22. Hatcher E., and Gospodnetic O. Lucene in action (2004), Manning Publications Co, New York
23. He X., Ding C.H.Q., Zha H., and Simon H.D. Automatic topic identification using webpage clustering. Proceedings of the 2001 IEEE international conference on data mining (2001), IEEE Computer Society, Washington, DC, USA 195-202
24. He X., Zha H., Ding C.H.Q., and Simon H.D. Web document clustering using hyperlink structures. Computational Statistics & Data Analysis 41 1 (2002) 19-45
25. Hicks D. Limitations of co-citation analysis as a tool for science policy. Social Studies of Science 17 2 (1987) 295-316
26. Jain A., and Dubes R. Algorithms for clustering data (1988), Prentice Hall, New Jersey
27. Janssens, F. (2007). Clustering of scientific fields by integrating text mining and bibliometrics. Ph.D. Thesis, Faculty of Engineering, Katholieke Universiteit Leuven, Belgium. .
28. Janssens F., Glänzel W., and De Moor B. 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, San Jose, CA, USA, August 2007 (2007), ACM, New York 360-369
29. Janssens F., Glänzel W., and De Moor B. A hybrid mapping of information science. Scientometrics 75 3 (2008) 607-631
30. Janssens F., Leta J., Glänzel W., and De Moor B. Towards mapping library and information science. Information Processing & Management 42 6 (2006) 1614-1642 [Special Issue on Informatics]
31. Janssens, F., Tran Quoc, V., Glänzel, W., & De Moor, B. (2006), Integration of textual content and link information for accurate clustering of science fields. In Proceedings of the 1st International Conference on Multidisciplinary Information Sciences and Technologies (InSciT2006). Mérida, Spain, October 2006 (pp. 615-619).
32. Jarneving, B. (2005). The combined application of bibliographic coupling and the complete link cluster method in bibliometric science mapping. Ph.D. Thesis, University College of Borås/Göteborg University, Sweden.
33. Jarneving B. Bibliographic coupling and its application to research-front and other core documents. Journal of Informatics 1 4 (2007) 287-307
34. Kessler M.M. Bibliographic coupling between scientific papers. American Documentation 14 1 (1963) 10-25
35. Kostoff R.N., Buchtel H.A., Andrews J., and Pfeil K.M. The hidden structure of neuropsychology: Text mining of the journal cortex, 1991-2001. Cortex 41 2 (2005) 103-115
36. Kostoff R.N., Toothman D.R., Eberhart H.J., and Humenik J.A. Text mining using database tomography and bibliometrics: A review. Technological Forecasting and Social Change 68 3 (2001) 223-253
37. Leydesdorff L. Can scientific journals be classified in terms of aggregated journal-journal citation relations using the journal citation reports?. JASIST 57 5 (2006) 601-613
38. Leydesdorff L., and Rafols I. A global map of science based on the ISI subject categories. JASIST 60 2 (2009) 348-362
39. Mardia K.V., Kent J.T., and Bibby J.M. Multivariate analysis (1979), Harcourt Brace & Co., Academic Press, London, UK
40. Marshakova I.V. System of connections between documents based on references (as the science citation index). Nauchno-Tekhnicheskaya Informatsiya Seriya 2 6 (1973) 3-8
41. Modha D.S., and Spangler W.S. Clustering hypertext with applications to web searching. Proceedings of the 11th ACM international conference on hypertext and hypermedia (2000), ACM Press, New York, NY, USA 143-152
42. Moya-Anegon F.de., Vargas-Quesada B., Chinchilla Rodriguez Z., Corera-Alvarez E., Munoz Fernandez F.J., and Herrero-Solana V. Visualizing the marrow science. JASIST 58 14 (2007) 2167-2179
43. Narin F. Evaluative bibliometrics: The use of publication and citation analysis in the evaluation of scientific activity (1976), Computer Horizons, Inc, Washington, D.C
44. Newman M.E.J. Modularity and community structure in networks. PNAS US 103 (2006) 23
45. Newman M.E.J., and Girvan M. Finding and evaluating community structure in networks. Physical Review E 69 (2004) 2
46. Noyons E.C.M. Bibliometric mapping as a science and research management tool (1999), DSWO Press, Leiden University, Leiden, The Netherlands
47. Pinski G., and Narin F. Citation influence for journal aggregates of scientific publications. Information Processing & Management 12 5 (1976) 297-312
48. Rousseeuw P. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics 20 1 (1987) 53-65
49. Salton G., and Mcgill M.J. Introduction to modern information retrieval (1986), McGraw-Hill, Inc, New York
50. Small H. Co-citation in the scientific literature: A new measure of the relationship between two documents. JASIS 24 4 (1973) 265-269
51. Small H. Cited documents as concept symbols. Social Studies of Science 8 (1978) 240-327
52. Small H. A general framework for general large-scale maps of science in two or three dimensions: The SciViz system. Scientometrics 41 1-2 (1998) 125-133
53. Treeratpituk P., and Callan J. Automatically labeling hierarchical clusters. Proceedings of the 2006 international conference on digital government research Vol. 151 (2006), ACM, San Diego, CA, USA 167-176
54. Wang Y., and Kitsuregawa M. Evaluating contents-link coupled web page clustering for web search results. Proceedings of the 11th international conference on information and knowledge management (2002), ACM Press, New York, NY, USA 499-506
55. Weiss R., Vélez B., Sheldon M.A., Namprempre C., Szilagyi P., Duda A., et al. HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering. Proceedings of the 7th ACM conference on Hypertext (1996), ACM Press, Bethesda, Maryland, USA 180-193
56. Zhang B., Chen Y., Fan W., Fox E.A., Goncalves M.A., Cristo M., et al. Intelligent fusion of structural and citation-based evidence for text classification. Proceedings of the 28th annual international ACM SIGIR conference on research and development in information retrieval (2005), ACM Press, New York, NY, USA 667-668
57. Zhang, L., Glänzel, W., & Liang, L. M. (2009). Tracing the role of individual journals in a cross-citation network based on different indicators. Scientometrics, in press, doi:10.1007/s11192-008-2245-y.