Results 1 to 10 of about 5,076 (252)
An Information-Theoretic Framework for Evaluating Edge Bundling Visualization [PDF]
Entropy, 2018 Edge bundling is a promising graph visualization approach to simplifying the visual result of a graph drawing. Plenty of edge bundling methods have been developed to generate diverse graph layouts.
Jieting Wu +3 more
doaj +9 more sources
Edge Bundling in Information Visualization [PDF]
Tsinghua Science and Technology, 2013 The edge, which can encode relational data in graphs and multidimensional data in parallel coordinates plots, is an important visual primitive for encoding data in information visualization research.
Hong Zhou +3 more
doaj +6 more sources
An Evolutionary Algorithm for an Optimization Model of Edge Bundling [PDF]
Information, 2018 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.
Joelma de M. Ferreira +2 more
doaj +5 more sources
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 Edge bundling techniques cluster edges with similar attributes (i.e. similarity in direction and proximity) together to reduce the visual clutter. All edge bundling techniques to date implicitly or explicitly cluster groups of individual edges, or parts of them, together based on these attributes. These clusters can result in ambiguous connections that
Markus Wallinger +2 more
exaly +8 more sources
Similarity-Driven Edge Bundling: Data-Oriented Clutter Reduction in Graphs Layouts
Algorithms, 2020 Graph visualization has been successfully applied in a wide range of problems and applications. Although different approaches are available to create visual representations, most of them suffer from clutter when faced with many nodes and/or edges.
Fabio Sikansi +4 more
doaj +4 more sources
Connexel Visualization: A software implementation of glyphs and edge-bundling for dense connectivity data using brainGL [PDF]
Frontiers in Neuroscience, 2014 The visualization of brain connectivity becomes progressively more challenging as analytic and computational advances begin to facilitate connexel-wise analyses, which include all connections between pairs of voxels.
Joachim eBöttger +4 more
doaj +2 more sources
Divided Edge Bundling for Directional Network Data [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2011 The node-link diagram is an intuitive and venerable way to depict a graph. To reduce clutter and improve the readability of node-link views, Holten & van Wijk's force-directed edge bundling employs a physical simulation to spatially group graph edges. While both useful and aesthetic, this technique has shortcomings: it bundles spatially proximal edges ...
Brandon Heller, Jeffrey Heer
exaly +3 more sources
Espin enhances confined cell migration by promoting filopodia formation and contributes to cancer metastasis [PDF]
EMBO ReportsGenes regulating the finger-like cellular protrusions—filopodia have long been implicated in cancer metastasis. However, depleting the flat lamellipodia but retaining filopodia drastically hampers cell migration on spread surface, obscuring the role of ...
Yan Wang +12 more
doaj +2 more sources
Edge Bundling Method Based on Homologous Control Points [PDF]
Jisuanji kexue, 2022 Edge bundling is an effective method to reduce the visual clutter caused by the visualization of the node-link diagram with a large number of complex connections.Generally,the edge bundling based on spatial proximity will lead to independent edge ...
LIU Meng-xin, ZHANG Fan, LI Tian-rui
doaj +1 more source
Edge routing with ordered bundles [PDF]
Computational Geometry, 2012 Edge bundling reduces the visual clutter in a drawing of a graph by uniting the edges into bundles. We propose a method of edge bundling drawing each edge of a bundle separately as in metro-maps and call our method ordered bundles. To produce aesthetically looking edge routes it minimizes a cost function on the edges.
Sergey Pupyrev +3 more
openaire +4 more sources