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Science and technology mapping: A new iteration model for representing multidimensional relationships

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  • Alexander Kopcsa
  • Edgar Schiebel

Abstract

Much effort has been done to develop more objective quantitative methods to analyze and integrate survey information for understanding research trends and research structures. Co‐word analysis is one class of techniques that exploits the use of co‐occurrences of items in written information. However, there are some bottle‐necks in using statistical methods to produce mappings of reduced information in a comfortable manner. On one hand, often used statistical software for PCs has restrictions for the amount for calculable data; on the other hand, the results of the multidimensional scaling routines are not quite satisfying. Therefore, this article introduces a new iteration model for the calculation of co‐word maps that eases the problem. The iteration model is for positioning words in the two‐dimensional plane due to their connections to each other, and it consists of a quick and stabile algorithm that has been implemented with software for personal computers. A graphic module represents the data in well‐known “technology maps.” © 1998 John Wiley & Sons, Inc.

Suggested Citation

  • Alexander Kopcsa & Edgar Schiebel, 1998. "Science and technology mapping: A new iteration model for representing multidimensional relationships," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 7-17.
    • Handle: RePEc:bla:jamest:v:49:y:1998:i:1:p:7-17
    DOI: 10.1002/(SICI)1097-4571(1998)49:13.0.CO;2-W
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    Cited by:

    1. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    2. Jean-Charles Lamirel & Shadi Al Shehabi & Claire Francois & Xavier Polanco, 2004. "Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 427-441, November.
    3. Bart Thijs & Edgar Schiebel & Wolfgang Glänzel, 2013. "Do second-order similarities provide added-value in a hybrid approach?," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 667-677, September.
    4. S. Ravikumar & Ashutosh Agrahari & S. N. Singh, 2015. "Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 929-955, January.
    5. van Eck, N.J.P. & Waltman, L. & Noyons, E.C.M. & Buter, R.K., 2008. "Automatic Term Identification for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2008-081-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Carlos Suárez-Balseiro & Elias Sanz-Casado & Laurie Ortiz-Rivera, 2006. "Patterns of international scientific co-operation in Puerto Rico," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 335-350, June.
    7. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Nees Jan Eck & Ludo Waltman & Ed C. M. Noyons & Reindert K. Buter, 2010. "Automatic term identification for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 581-596, March.
    9. Sandra Boric & Edgar Schiebel & Christian Schlogl & Michaela Hildebrandt & Christina Hofer & Doris M. Macht, 2021. "Research in Autonomous Driving – A Historic Bibliometric View of the Research Development in Autonomous Driving," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 7(5), pages 27-44, December.
    10. Pim Vugteveen & Rob Lenders & Peter Van den Besselaar, 2014. "The dynamics of interdisciplinary research fields: the case of river research," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 73-96, July.
    11. Omwoyo Bosire Onyancha & Dennis N. Ocholla, 2009. "Is HIV/AIDS in Africa distinct? What can we learn from an analysis of the literature?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 277-296, May.

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