To make knowledge visualizations clear and easy to interpret, a method was developed 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. The method identifies intellectual groupings based on extending the traditional ACA, augmenting the existing document- and concept-centered approaches to knowledge visualization.
Bibliographical noteFunding Information:
We thank the reviewers for their helpful comments. This work is supported by research grant GR/L61088 from the Engineering and Physical Sciences Research Council in the UK.
All Science Journal Classification (ASJC) codes
- General Computer Science