Science and technology mapping: A new iteration model for representing multidimensional relationships
Alexander Kopcsa, Edgar Schiebel · Journal of the American Society for Information Science · 1998
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.