Graph Signatures for Visual Analytics
IEEE Transactions on Visualization and Computer Graphics
Multiscale scatterplot matrix for visual and interactive exploration of metabonomic data
VIEW'06 Proceedings of the 1st first visual information expert conference on Pixelization paradigm
See what you know: analyzing data distribution to improve density map visualization
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Winding roads: routing edges into bundles
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Exploring hierarchical multidimensional data with unified views of distribution and correlation
Journal of Visual Languages and Computing
| Hi-index | 0.00 |
We describe an exploratory technique based on the direct interaction with a 2D modified scatterplot computed from two different metrics calculated over the elements of a network. The scatterplot is transformed into an image by applying standard image processing techniques resulting into blurring effects. Segmentation of the image allows to easily select patches on the image as a way to extract sub-networks. We were inspired by the work of Wattenberg and Fisher [21] showing that the blurring process builds into a multiscale perceptual scheme, making this type of interaction intuitive to the user. We explain how the exploration of the network can be guided by the visual analysis of the blurred scatterplot and by its possible interpretations.