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The influence of edge bundling on visual information search
Information Sciences, 2019 Abstract Millions of nodes and edges in a node-link diagram representing the network structure of big data may clutter the space, reducing the aesthetic quality and hindering the process of information search. Edge bundling offers an approach to solve this problem. However, to what extent that edge bundling can solve the problem remains unclear.
Yi-Na Li, Mao Lin Huang, Kang Zhang
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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 ...
Jeffrey Heer, Brandon Heller
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Evolutionary Node Layout and Edge Bundling
2022 IEEE Congress on Evolutionary Computation (CEC), 2022Ryosuke Saga
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Expectation-based 3D edge bundling
Multimedia Tools and Applications, 2019In the visualization of the node-link graph, it is common to use edge-bundling algorithms to reduce the visual clutter caused by the increase in nodes and connections while reflecting the high-level structure of the graph. However, the traditional force-directed edge-bundling method has unstable gravitation when applied in three dimensions.
Xiaohui Yuan, Qiang Lu
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Research on Network Simplification by Edge Bundling
2016 IEEE First International Conference on Data Science in Cyberspace (DSC), 2016Node occlusion and edge congestion problems, which are caused by the increasing scale and complexity of network, had become a hot spot in network visualization research. To solve the visual clutter problem in network, edges close to each other in network were bundled by curving them.
Zhonghua Yao, Lingda Wu
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Ambiguity-Free Edge-Bundling for Interactive Graph Visualization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2012 Graph visualization has been widely used to understand and present both global structural and local adjacency information in relational data sets (e.g., transportation networks, citation networks, or social networks). Graphs with dense edges, however, are difficult to visualize because fast layout and good clarity are not always easily achieved.
Kwan-Liu Ma, Bing-Yu Chen
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An Edge-Bundling Layout for Interactive Parallel Coordinates
2014 IEEE Pacific Visualization Symposium, 2014Parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and over plotting which hamper the recognition of patterns in the data. We present an edge-bundling method using density-based clustering for each dimension.
Gregorio Palmas +4 more
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