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

Alexander Kopcsa and Edgar Schiebel

Journal of the American Society for Information Science, 1998, vol. 49, issue 1, 7-17

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.

Date: 1998
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https://doi.org/10.1002/(SICI)1097-4571(1998)49:13.0.CO;2-W

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