Authors:
Michael Burch
;
Tanja Blascheck
;
Christine Louka
and
Daniel Weiskopf
Affiliation:
VISUS and University of Stuttgart, Germany
Keyword(s):
Dynamic Hierarchies, Indented Plots.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Information and Scientific Visualization
;
Time-Dependent Visualization
Abstract:
Visualizing static hierarchical organizations has been a focus of information visualization for many years,
but it still remains challenging to produce visual representations of evolving, i.e. dynamic hierarchies. In
this paper we extend the concept of indented plots to also support the depiction of changing hierarchies.
We exploit the concept of static diagrams in order to support the preservation of a viewer’s mental map.
Changes between subsequent hierarchies are precomputed and visually indicated by color coded straight or
curved lines depending on the type of change. Interactive features can be used to aggregate or collapse the
dynamic hierarchy data in the supported dimensions, i.e. the vertex as well as the time dimension on different
levels of hierarchical and temporal granularity. The usefulness of our technique is illustrated by means of
a bibliography dataset where we show the changes in the yearly prefix tree acquired by extracting words
occuring most frequently in more t
han 2,000,000 paper titles from the digital library DBLP.
(More)
