ABS: Chen and Paul (2001) Visualizing a knowledge domain's intellectual structure.

[Chaomei Chen]

Chaomei Chen and Ray J. Paul (March 2001) Visualizing a knowledge domain's
intellectual structure. Computer, 34(3), 65-71.

Email: chaomei.chen at brunel.ac.uk, ray.paul at brunel.ac.uk

To make knowledge visualizations clear and easy to interpret, the authors
have developed a method that extends and transforms traditional author
co-citation analysis (ACA) by extracting structural patterns from the
scientific literature and representing them in a 3D knowledge landscape.
Integrating citation and co-citation patterns provides a rich, ecological
representation of a knowledge domain. Users can apply visualizations to
discover patterns and make valuable connections among data. The authors'
approach extends conventional ACA by integrating structured modeling and
information visualization techniques to provide a 3D knowledge landscape
based on citation patterns.
Their four-step procedure introduces Pathfinder network scaling to replace
multidimensional scaling. It also integrates Pathfinder and factor analysis
to visualize specialties in the underlying domain knowledge and visualizes
the citation frequency of scientists to track changes in their influence
over time. This knowledge visualization approach identifies intellectual
groupings based on extending the traditional ACA, augmenting the existing
document- and concept-centered approaches to knowledge visualization. The
3D knowledge landscape has practical implications in knowledge
visualization, digital libraries, domain analysis, and subject domains,
providing powerful tools for tracking intuitively scientific knowledge.

Copyright (c) 2001 Institute of Electrical and Electronics Engineers, Inc.
All rights reserved.
http://computer.org/computer/co2001/r3065abs.htm