Clustering methodologies for identifying country core competencies

Journal of Information Science

Volumn 33, Issue 1, 2007, Pages 21-40

  Kostoff, Ronald N ^a   Del Río, J Antonio ^b   Cortés, Héctor D ^b   Smith, Charles ^c   Smith, Andrew ^d   Wagner, Caroline ^e   Leydesdorff, Loet ^e   Karypis, George ^f   Malpohl, Guido ^g   Tshiteya, Rene ^h  

^a OFFICE OF NAVAL RESEARCH   (United States)

^b INSTITUTO DE ENERGÍAS RENOVABLES   (Mexico)

^c BOOZ ALLEN HAMILTON   (United States)

^d UNIVERSITY OF QUEENSLAND   (Australia)

^e UNIVERSITY OF AMSTERDAM   (Netherlands)

^f UNIVERSITY OF MINNESOTA   (United States)

^g UNIVERSITY OF KARLSRUHE   (Germany)

^h DDL OMNI Engineering LLC   (United States)

Author keywords

Bibliometrics; CLUTO; Computational linguistics; Concept clustering; Core competencies; Data compression; Document clustering; Factor analysis; Greedy string tiling; Leximancer; Mexico; Network analysis; Research evaluation; Science and technology

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA COMPRESSION; DATA REDUCTION; DATABASE SYSTEMS; ELECTRIC NETWORK ANALYSIS; STATISTICAL METHODS;

CLUTO; CONCEPT CLUSTERING; CORE COMPETENCIES; DOCUMENT CLUSTERING; FACTOR ANALYSIS; GREEDY STRING TILING; LEXIMANCER; MEXICO; RESEARCH EVALUATION; SCIENCE AND TECHNOLOGY;

INFORMATION RETRIEVAL;

EID: 33846636856     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551506067124     Document Type: Article

References (54)

1. R. N. Kostoff, Text mining for Global Technology Watch. In: M. Drake (ed.), Encyclopedia of Library and Information Science, Vol. 4, Second Edition (Marcel Dekker, New York, 2003). 2789-2799.
2. C. W. Bostian, W. T. Brandon, A. U. MacRae, C. E. Mahle and S. A. Townes, Key technology trends - satellite systems, Space Communications 16 (2-3) (2000) 97-124.
3. B. Leneman, Automation in Soviet industry, 1970-83 - an assessment of the present state of robot-technology, Revue d'Etudes Comparatives Est-Ouest 15 (1) (1984) 75-112.
4. P. Stares, United States and Soviet military space programs - a comparative-assessment, Daedalus 114 (2) (1985) 127-145.
5. R. C.W. Hutubessy, P. Hanvoravongchai and T. T.T. Edejer, Diffusion and utilization of magnetic resonance imaging in Asia, International Journal of Technology Assessment in Health Care 18 (3) (2002) 690-704.
6. B. Mooney and R. Seymour, WTEC panels survey Russian maritime technologies, Marine Technology Society Journal 30 (1) (1996) 71-72.
7. L. V. McIntire, WTEC panel report on tissue engineering (reprinted), Tissue Engineering 9 (1) (2003) 3-7.
8. R. Campbell, H. D. Balzer, J. Berliner, R. Dobson and P. Gregory, Soviet Science and Technology ( SAIC/Foreign Applied Sciences Assessment Center, San Diego, 1985 ).
9. A. Klinger (ed.), Soviet Image Pattern Recognition Research ( SAIC/Foreign Applied Sciences Assessment Center, San Diego, 1990 ).
10. R. M. Gray (ed.), M. Cohn, L. W. Craver, A. Gersho, T. Lookabaugh, F. Pollara and M. Vetterli, Non-US Data Compression and Coding Research; a Foreign Applied Sciences Assessment Center (FASAC) report prepared for Science Applications International Corporation (SAIC) under U.S. Government sponsorship ( SAIC/Foreign Applied Sciences Assessment Center, San Diego, 1993 ).
11. L. J. Lanzerotti, R. C. Henry, H. P. Klein, H. Masursky, G. A. Paulikas, F. L. Scarf, G. A. Soffen and Y. Terzian, Soviet Space Science Research, FASAC Technical Assessment Report FASAC-TAR-3060 ( SAIC/Foreign Applied Sciences Assessment Center, San Diego, 1986 ).
12. L. M. Duncan, F. T. Djuth, J. A. Fejer, N. C. Gerson, T. Hagfors, D. B. Newman Jr, R. L. Showen, Soviet Ionospheric Modification Research, Foreign Applied Sciences Assessment Center Technical Assessment Report 4040 ( SAIC/Foreign Applied Sciences Assessment Center, San Diego, 1988 ).
13. W. J. Spencer, J. Y. Chen, A. Chiang, W. Frieman, E. S. Kuh, J. L. Moll, R. F. Pease and K. C. Saraswat, Chinese microelectronics, Foreign Applied Sciences Assessment Center Technical Assessment Report ( SAIC/Foreign Applied Sciences Assessment Center, San Diego, 1989 ).
14. R. C. Davidson, M. A. Abdou, L. A. Berry, C. W. Horton, J. F. Lyon, and P. H. Rutherford, Japanese Magnetic Confinement Fusion Research, Foreign Applied Sciences Assessment Center Technical Assessment Report ( Science Applications International, 1990 ).
15. R. N. Kostoff, H. J. Eberhart, D. R. Toothman and R. Pellenbarg, Database tomography for technical intelligence: comparative analysis of the research impact assessment literature and the Journal of the American Chemical Society, Scientometrics 40 (1) (1997) 103-138.
16. R. N. Kostoff, H. J. Eberhart and D. R. Toothman, Database tomography for technical intelligence: a roadmap of the near-earth space science and technology literature, Information Processing and Management 34 (1) (1998) 69-85.
17. R. N. Kostoff, H. J. Eberhart and D. R. Toothman, Hypersonic and supersonic flow roadmaps using bibliometrics and database tomography, Journal of the American Society for Information Science 50 (5) (1999) 427-447.
18. R. N. Kostoff, T. Braun, A. Schubert, D. R. Toothman and J. A. Humenik, Fullerene roadmaps using bibliometrics and database tomography, Journal of Chemical Information and Computer Science 40 (1) (2000) 19-39.
19. R. N. Kostoff, K. A. Green, D. R. Toothman and J. A. Humenik, Database tomography applied to an aircraft science and technology investment strategy, Journal of Aircraft 37 (4) (2000) 727-730.
20. R. N. Kostoff and R. A. DeMarco, Science and technology text mining, Analytical Chemistry 73 (13) (2001) 370A - 378A.
21. R. N. Kostoff, J. A. Del Rio, E. O. García, A. M. Ramírez and J. A. Humenik, Citation mining: integrating text mining and bibliometrics for research user profiling, Journal of the American Society for Information Science and Technology 52 (13) (2001) 1148-1156.
22. R. N. Kostoff, R. Tshiteya, K. M. Pfeil and J. A. Humenik, Electrochemical power source roadmaps using bibliometrics and database tomography, Journal of Power Sources 110 (1) (2002) 163-176.
23. R. N. Kostoff, M. F. Shlesinger and G. Malpohl, Fractals roadmaps using bibliometrics and database tomography, Fractals 12 (1) (2004) 1-16.
24. R. N. Kostoff, M. F. Shlesinger and R. Tshiteya, Nonlinear dynamics roadmaps using bibliometrics and database tomography, International Journal of Bifurcation and Chaos 14 (1) (2004) 61-92.
25. R. N. Kostoff, C. W. Bedford, J. A. Del Rio, H. Cortes and G. Karypis, Macromolecule mass spectrometry: citation mining of user documents, Journal of the American Society for Mass Spectrometry 15 (3) (2004) 281-287.
26. R. N. Kostoff, G. Karpouzian and G. Malpohl, Text mining the global abrupt wing stall literature, Journal of Aircraft 42 (3) (2005) 661-664.
27. R. N. Kostoff, J. A. Del Rio, H. D. Cortes, C. Smith, A. Smith, C. S. Wagner, L. Leydesdorff, G. Karypis, G. Malpohl and R. Tshiteya, Science and Technology Text Mining: Mexico Core Competencies. DTIC ADA Number 430724 ( Defense Technical Information Center, Fort Belvoir, 2005 ).
28. R. N. Kostoff, The practice and malpractice of stemming, Journal of the American Society for Information Science and Technology 54 (10) (2003) 984-985.
29. R. N. Kostoff and J. A. Block, Factor matrix text filtering and clustering, Journal of the American Society for Information Science and Technology 56 (9) (2005) 946-968.
30. D. R. Cutting, D. R. Karger, J. O. Pedersen, J. W. Tukey, Scatter/gather: a cluster-based approach to browsing large document collections. In: N. J. Belkin et al. (eds), Proceedings of the 15th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'92) (ACM, New York, 1992) 318-329.
31. S. Guha, R. Rastogi and K. Shim, CURE: an efficient clustering algorithm for large databases. In: A. Tiwary and M. Franklin (eds), Proceedings of the ACM-SIGMOD 1998 International Conference on Management of Data (SIGMOD'98) (ACM, Seattle, 1998) 73-84.
32. M. A. Hearst, The use of categories and clusters in information access interfaces. In: T. Strzalkowski (ed.), Natural Language Information Retrieval ( Kluwer, Dordrecht, 2000 ).
33. G. Karypis, E. H. Han and V. Kumar, Chameleon: a hierarchical clustering algorithm using dynamic modeling, IEEE Computer 32 (8) (1999) 68-75. [Special Issue on Data Analysis and Mining]
34. E. Rasmussen, Clustering algorithms. In: W. B. Frakes and R. Baeza-Yates (eds), Information Retrieval Data Structures and Algorithms ( Prentice Hall, Englewood Cliffs, 1992 ).
35. M. Steinbach, G. Karypis and V. Kumar, A Comparison of Document Clustering Techniques. Technical Report #00-034 ( Department of Computer Science and Engineering, University of Minnesota, 2000 ).
36. P. Willet, Recent trends in hierarchical document clustering: a critical review, Information Processing and Management 24 (1988) 577-597.
37. O. Zamir and O. Etzioni, Web document clustering: a feasibility demonstration. In: H. P. Frei et al. (eds), Proceedings of the 19th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98) (ACM, Zurich, 1998) 46-54.
38. L. Prechelt, G. Malpohl and M. Philippsen, Finding plagiarisms among a set of programs with JPlag, Journal of Universal Computer Science 8 (11) (2002) 1016-1038.
39. M. J. Wise, Neweyes: a system for comparing biological sequences using the running Karp-Rabin Greedy String-Tiling algorithm. In: C. Rawlings et al. (eds), Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, Cambridge, UK 1995 (AAAI, Menlo Park, 1995) 93-401.
40. D. Benedetto, E. Caglioti and V. Loreto, Language trees and zipping, Physical Review Letters 88 (4) (2002) Art. No. 048702.
41. G. Karypis, CLUTO - a clustering toolkit (2005). Available at: http://glaros.dtc.umn.edu/gkhome/cluto/cluto/download (accessed 5 September 2006).
42. A. E. Smith and M. S. Humphreys, Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping, Behavior Research Methods (in press).
43. L. Leydesdorff, Words and co-words as indicators of intellectual organization, Research Policy 18 (4) (1989) 209-223.
44. P. Ahlgren, B. Jarneving and R. Rousseau, Requirement for a cocitation similarity measure, with special reference to Pearson's Correlation Coefficient, Journal of the American Society for Information Science and Technology 54 (6) (2003) 550-560.
45. C. S. Wagner and L. Leydesdorff, Mapping global science using international co-authorships: a comparison of 1990 and 2000, International Journal of Technology and Globalization (in press).
46. J. L. Ortega Priego, A vector space model as a methodological approach to the triple helix dimensionality: a comparative study of biology and biomedicine centres of two European National Councils from a Webometric view, Scientometrics, 58 (2) (2003) 429-443.
47. G. Salton and M. J. McGill, Introduction to Modern Information Retrieval ( McGraw-Hill, Auckland, 1983 ).
48. H. D. White, Author cocitation analysis and Pearson's r, Journal of the American Society for Information Science and Technology 54 (13) (2003) 1250-1259.
49. V. Batagelj and A. Mrvar, Pajek - Program for Large Network Analysis (). Available at: http://vlado.fmf.uni-lj.si/pub/networks/pajek/ (accessed 14 December 2005).
50. C. S. Wagner and S. Popper, Technology Use and Productivity in Mexico, Final Report, RAND Europe, 2002 (Unpublished monograph).
51. M. P. Windham, cluster validity for fuzzy clustering algorithms, Fuzzy Sets and Systems 5 (2) (1981) 177-185.
52. W. J. Wilbur and K. Sirotkin, The automatic identification of stop words, Journal of Information Science 18 (1) (1992) 45-55.
53. A. Bookstein, S. T. Klein and T. Raita, Clumping properties of content-bearing words, Journal of the American Society for Information Science 49 (2) (1998) 102-114.
54. R. N. Kostoff and J. A. Block, Factor matrix text filtering and clustering, Journal of the American Society for Information Science and Technology 56 (9) (2005) 946-968.