Dear All,
we submitted the paper /Multiscale Snapshots: Visual Analysis of
Temporal Summaries in Dynamic Graphs/ to the IEEE Transactions on
Visualization and Computer Graphics (TVCG). We request to acknowledge
SPARTA if the paper is accepted.
* Abstract: "The overview-driven visual analysis of large-scale
dynamic graphs poses a major challenge. We propose Multiscale
Snapshots, a visual analytics approach to analyze temporal summaries
of dynamic graphs at multiple temporal scales. First, we recursively
generate temporal summaries to abstract overlapping sequences of
graphs into compact snapshots. Second, we apply graph embeddings to
the snapshots to learn low-dimensional representations of each
sequence of graphs to speed up specific analytical tasks (e.g.,
similarity search). Third, we visualize the evolving data from a
coarse to fine-granular snapshots to semi-automatically analyze
temporal states, trends, and outliers. The approach enables to
discover similar temporal summaries (e.g., recurring states),
reduces the temporal data to speed up automatic analysis, and to
explore both structural and temporal properties of a dynamic graph.
We demonstrate the usefulness of our approach by a quantitative
evaluation and the application to a real-world dataset."
Best Regards,
Eren Cakmak
--
Research Associate
Department of Computer and Information Science
Data Analysis and Visualization Group
78457 Konstanz, Germany
Website:
http://infovis.uni.kn/~cakmak
Phone: +49 (0)7531 88 2507
Room: D334