Skeleton-based edge bundling for graph visualization software

Smooth bundling of large streaming and sequence graphs. We propose a method of edge bundling that draws each edge of a bundle separately as in metromaps and call our method ordered bundles. Skeletonbased edge bundling sbeb uses the skeleton of the graph drawings thresholded distance transform as. Acm, 2008 cover image on conference proceedings 110. However, few methods have been presented with the specific purpose of visualizing image features and their matchings. Edge bundling in information visualization github pages. An evolutionary algorithm for an optimization model of. University of groningen automatic segmentation of skin.

For general graphs, many bundling methods have been. Skeletonbased edge bundling for graph visualization abstract. Multidimensional projections and treebased techniques for visualization and mining rosane minghim. Automatic segmentation of skin lesions using multiscale skeletons aim materials and methods.

Based on diversified edge bundling methods, scholars have proposed an edgebundling taxonomy. Assumed as a powerful method to reduce visual clutter in information visualization, edge bundling has been used in graph visualization,, flow map visualization, and parallel coordinate visualization. Due to strong edge attraction, bundled results often show unnecessary curvature and tangling at bundle intersections. Skeletonbased edge bundling for graph visualization o. Lowstretch trees are spanning trees which provide approximate distance preservation for edges in the original graph by minimizing stretch. Visualization metaphors for general graphs include node. Imagebased edge bundle ibeb visualization pipeline. Ozan ersoy, christophe hurter, fernando paulovich, gabriel cantareira, alex telea.

Im thinking especially of the beautiful organic edge bundling videos from skeletonbased edge bundling for graph visualization by ozan ersoy et al. Node grouping and link segregation in circular layout with. We demonstrate our technique with actual data from air and road traffic control, medical imaging, and software. Pdf skeletonbased edge bundling for graph visualization. Incidentally, there have been many 3d graph visualization techniques. Telea graph bundling by kernel density estimation a iteration 0 b iteration 3 c iteration 6 d iteration 10 figure 1. Evolution of density map and corresponding bundling for the us migrations graph. The algorithm was successfully tested by solving the related problems applied to realworld instances in reasonable computational. A multivariate based method for interactive graph layout and analysis. O ersoy, c hurter, f paulovich, g cantareiro, a telea. Previous methods require the graph to contain a hierarchy for this, or they construct a control mesh to guide the edge bundling process, which often results in bundles that show considerable variation in. Skeletonbased edge bundles for graph visualization 2011. For edge bundling in parallel coordinates visualization, zhou, yuan, qu et al.

Hence, visualization methods based on edge bundling can be used to represent matching lines between image features. The essence of this technique is the use of simple circular layout with node grouping and link segregation. Graph bundling by kernel density estimation computer. Edgebundling algorithm also reduces the clutter in the graph. Automatic segmentation of skin lesions using multiscale skeletons. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Proceedings of the 2005 acm symposium on software visualization, 4756, 2005. As layout cues for bundles, we use medial axes, or skeletons, of edges which are similar in terms of. Lowstretch trees for network visualization ubc library.

In the edge bundling method, adjacent edges are visualized as a bundled group to reduce visual clutter. Edge bundling reduces the visual clutter in a drawing of a graph by uniting the edges into bundles. Skeletonbased edge bundling for graph visualization. Edge routing with ordered bundles computational geometry. Edges in a cluster a and their binary shape i and skeleton sk b and shading profile h.

Bundled visualization of dynamic graph and trail data. The continued development of similar interactive visualization software for connexel data will further provide a necessary foundation for mapping and understanding the connectome. Index terms3d information visualization, graph visualization, edge bundling, clustering. Instead, we applied general algorithms for graph clustering and node layout, and extended edge bundling techniques for mutually connected directed graphs. Introducing a clear relationship between weather and tweets, the design presents a natural manner of representing correlation and revealing highlevel patterns. Clutter causes and reduction strategies are discussed in 16, 65. We introduce a 3d clusterbased edge bundling algorithm that is inspired by the forcedirected edge. Skeletonbased edge bundling sbeb uses the skeleton of the graph drawings. The influence of edge bundling on visual information search.

Texturebased visualization of metrics on software architectures h. This paper discusses three edge bundling optimization problems that aim to minimize the total number of bundles of a graph drawing, in conjunction with other aspects, as the main goal. Proceedings of the 4th acm symposium on software visualization softvis 08 r. In this paper, we present a novel approach for constructing bundled layouts of general graphs. Skeletonbased edge bundling for graph visualization ieee. Information visualization researchers have proposed many approaches to visualizing edge clouds, e. Skeletonbased edge bundling for graph visualization ozan ersoy, christophe hurter, fernando v. Untangling origindestination flows in geographic information systems. Graph bundling by kernel density estimation, computer. Inappropriate bundling may fail to reveal true data patterns and even mislead users. Edge bundling is a recent, increasingly promising, technique which generates graph layouts of limited clutter. We explore the application of these trees to network visualization. A novel evolutionary algorithm for edge bundling for these problems is described. Proceedings of the 26th annual acm symposium on user interface software and.

Attributedriven edge bundling for general graphs with applications in trail analysis vsevolod peysakhovich isae, toulouse, france christophe hurter dgac, toulouse, france alexandru telea university of groningen, netherlands abstract edge bundling methods reduce visual clutter of dense and occluded graphs. For this, we first transform a given graph drawing into a density map using kernel density estimation. Skeletonbased edge bundling for graph visualization 2011. We combine edge clustering, distance fields, and 2d skeletonization to construct progressively. Figure 1 shows a general framework of graph visualization using edge bundling. In this paper, we aim to accelerate force direct edge bundling fdeb 8 using standard functions of general graphics cards, and make edge bundling deployable and compatible on webbased platforms. Computer vision, imaging and computer graphics theory and applications 14th international joint conference, visigrapp 2019, prague, czech republic, february 2527, 2019, revised selected papers. Telea abstract in this paper, we present a novel approach for constructing bundled layouts of general graphs.

Visualizing large graphs by layering and bundling graph. Paulovich, gabriel cantareira, and alexandru telea. In particular, we present a novel edge bundling technique, lstb, that computes edge bundles explicitly and efficiently and does not rely on fixed vertex positions. Use of information visualization methods eliminating cross talk in multiple sensing units investigated for a lightaddressable potentiometric sensor. We use texturebased edge bundling to visualize the graph for reducing visual clutter. View level abstraction is achieved with the concepts of edge bundling and node abstraction. As layout cues for bundles, we use medial axes, or skeletons, of edges which are similar in terms of position information. Force directed edge bundling for graph visualization. Bundled layouts can be used to get insight into the coarsescale structure of networks, geographical maps, and software systems. Multidimensional projections and treebased techniques for. Skeletonbased edge bundling university of groningen.

This paper presents a parameterizable 6step edge bundling. Convergent drawing for mutually connected directed graphs. Skeletonbased edge bundling for graph visualization halenac. We present a fast and simple method to compute bundled layouts of general graphs. Index terms graph layouts, edge bundles, imagebased information visualization graphs are among the most important data structures in information visualization, and are present in many application domains including software comprehension, geovisualization, analysis of traffic networks, and social network exploration. During a bunch of papers, the demo or video had some astoundingly beautiful angle or process moment that just wasnt published point it was almost incidental. The use of edge bundling remedies this and reveals high. This cited by count includes citations to the following articles in scholar. We present moleview, a novel technique for interactive exploration of multivariate relational data. Image based information visualization or how to unify scivis and infovis. Edge bundling has been widely used to reduce visual clutter and reveal highlevel edge patterns for large graphs. Untangling origindestination flows in geographic information systems show all authors. Telea abstract in this paper, we present a novel approach for constructing bundled layouts of. Scientific visualization and computer graphics kdeeb rug.