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

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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