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Bead: explorations in information visualization

Published: 01 June 1992 Publication History

Abstract

We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling.
Many areas of scientific research involve complex multivariate data. One example of this is Information Retrieval. Document comparisons may be done using a large number of variables. Such conditions do not favour the more well-known methods of visualization and graphical analysis, as it is rarely feasible to map each variable onto one aspect of even a three-dimensional, coloured and textured space.
Bead is a prototype system for the graphically-based exploration of information. In this system, articles in a bibliography are represented by particles in 3-space. By using physically-based modelling techniques to take advantage of fast methods for the approximation of potential fields, we represent the relationships between articles by their relative spatial positions. Inter-particle forces tend to make similar articles move closer to one another and dissimilar ones move apart. The result is a 3D scene which can be used to visualize patterns in the high-D information space.

References

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cover image ACM Conferences
SIGIR '92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
June 1992
352 pages
ISBN:0897915232
DOI:10.1145/133160
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 June 1992

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  • (2019)Visualization of the RelevanceProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3343659(67-76)Online publication date: 12-Sep-2019
  • (2019)A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCABehaviormetrika10.1007/s41237-019-00085-547:1(219-241)Online publication date: 1-Jun-2019
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