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Generalised similarity analysis and Pathfinder network scaling
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1960
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| Title: | Generalised similarity analysis and Pathfinder network scaling |
| Authors: | Chen, Chaomei |
| Keywords: | Hypertext
Virtual Link Structure
Visualization
Information Retrieval |
| Issue Date: | 14-Apr-1999 |
| Publisher: | Elsevier |
| Citation: | Interacting with Computers, 10 (2): pp. 107-128. |
| Abstract: | This paper introduces a generic approach to the development of hypermedia information systems.
This approach emphasizes the role of intrinsic inter-document relationships in structuring and
visualizing a large hypermedia information space. In this paper, we illustrate the use of this approach
based on three types of similarity measurements: hypertext linkage, content similarity and usage
patterns. Salient patterns in these relationships are extracted and visualised in a simple and intuitive
associated network. The spatial layout of a visualisation is optimised such that closely related
documents are placed near to each other and only those intrinsic connections among them are
shown to users as automatically generated virtual links. This approach supports self-organised
information space transformation based on usage patterns and other feedback such that the visual
structure of the information space is incrementally tailored to users’ search and browsing styles. |
| URI: | http://dx.doi.org/10.1016/S0953-5438(98)00015-0
http://hdl.handle.net/1860/1960 |
| Appears in Collections: | Faculty Research and Publications (IST)
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