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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1109/TVCG.2020.3016055
|2 doi
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|a pubmed24n1045.xml
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|a DE-627
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|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Angori, Lorenzo
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Hybrid Graph Visualizations With ChordLink
|b Algorithms, Experiments, and Applications
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| 264 |
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|c 2022
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| 336 |
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 05.01.2022
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Many real-world networks are globally sparse but locally dense. Typical examples are social networks, biological networks, and information networks. This double structural nature makes it difficult to adopt a homogeneous visualization model that clearly conveys both an overview of the network and the internal structure of its communities at the same time. As a consequence, the use of hybrid visualizations has been proposed. For instance, NodeTrix combines node-link and matrix-based representations (Henry et al., 2007). In this article we describe ChordLink, a hybrid visualization model that embeds chord diagrams, used to represent dense subgraphs, into a node-link diagram, which shows the global network structure. The visualization makes it possible to interactively highlight the structure of a community while keeping the rest of the layout stable. We discuss the intriguing algorithmic challenges behind the ChordLink model, present a prototype system that implements it, and illustrate case studies on real-world networks
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| 650 |
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|a Journal Article
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| 700 |
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|a Didimo, Walter
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Montecchiani, Fabrizio
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Pagliuca, Daniele
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tappini, Alessandra
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 28(2022), 2 vom: 12. Feb., Seite 1288-1300
|w (DE-627)NLM098269445
|x 1941-0506
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|g volume:28
|g year:2022
|g number:2
|g day:12
|g month:02
|g pages:1288-1300
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| 856 |
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|u http://dx.doi.org/10.1109/TVCG.2020.3016055
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