TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Gohnert, Tilman
A1  - Ziebarth, Sabrina
A1  - Detjen, Henrik
A1  - Hecking, Tobias
A1  - Hoppe, H. Ulrich
T1  - 3D DynNetVis—A 3D visualization technique for dynamic networks
T2  - 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
N2  - In this demo paper we present a new visualization technique for dynamic networks. It displays the time slices of the dynamic network using two dimensional graph layouting algorithms and stacks these in the third dimension to show the development over time. The visualization ensures that the same node always has the same position in each time slice so that it is easy to follow its development. It also allows filtering data and influencing node appearance based on properties. Additionally we offer a two dimensional comparison view for two time slices which highlights changes in graph structure and (if available) in measures of nodes. The presented visualization technique is implemented using Web technology and is available in a Web-based analytics workbench. We demonstrate the benefits of these techniques by an analysis of a data set from a learning community.
KW  - Data visualization
KW  - Layout
KW  - Image color analysis
KW  - Visualization
KW  - Three-dimensional displays
Y1  - 2015
SN  - 978-1-4503-3854-7
SB  - 978-1-4503-3854-7
U6  - https://doi.org/10.1145/2808797.2808798
DO  - https://doi.org/10.1145/2808797.2808798
SP  - 737
EP  - 740
PB  - IEEE
ER  -