Animated Edge Textures in Node-Link Diagrams

Romat, Hugo; Appert, Caroline; Bach, Benjamin; Henry-Riche, Nathalie; Pietriga, Emmanuel

doi:10.1145/3173574.3173761

Cited by 21 publications

(13 citation statements)

References 42 publications

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“…For instance, spatial position is typically under the control of the graph layout algorithm, which tries to produce a representation that is legible, based on heuristics such as minimizing link crossings [52]. As a consequence, node size variations are fairly constrained, eventually limiting the number of channels for the visual mapping of data attributes [37,38]. The problem gets more difficult as graphs grow in size and complexity [31,51] and when they are dynamic [25].…”

Section: Authoring Graph Visualizationsmentioning

confidence: 99%

Expressive Authoring of Node-Link Diagrams With Graphies

Romat

Appert²,

Pietriga³

2021

IEEE Trans. Visual. Comput. Graphics

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Expressive design environments enable visualization designers not only to specify chart types and visual mappings, but also to customize individual graphical marks, as they would in a vector graphics drawing tool. Prior work has mainly investigated how to support the expressive design of a wide range of charts generated from tabular data: bar charts, scatterplots, maps, etc. We focus here on an expressive design environment for node-link diagrams generated from multivariate networks. Such data structures raise specific challenges and opportunities in terms of visual design and interactive authoring. We discuss those specificities and describe the user-centered design process that led to Graphies, a prototype environment for expressive node-link diagram authoring. We then report on a study in which participants successfully reproduced several expressive designs, and created their own designs as well.

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Section: Authoring Graph Visualizationsmentioning

confidence: 99%

Expressive Authoring of Node-Link Diagrams With Graphies

Romat

Appert²,

Pietriga³

2021

IEEE Trans. Visual. Comput. Graphics

Self Cite

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“…While they initially found that motion dominates hue for highlighting [61], their most recent studies suggest that motion and hue can be used in conjunction for the highlighting of two different entities simultaneously [62]. Finally, Romat et al [47] can be said to leverage the notion of common fate by animating the link lines in a node-link diagrams to indicate direction, rate, and speed.…”

Section: Gestalt Laws In Visualizationmentioning

confidence: 99%

Common Fate for Animated Transitions in Visualization

Chalbi

Ritchie

Park

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere velocity; in this paper we explore how common fate results from coordinated changes in luminance and size. We present results from a crowdsourced graphical perception study where we asked workers to make perceptual judgments on a series of trials involving four graphical objects under the influence of conflicting static and dynamic visual factors (position, size and luminance) used in conjunction. Our results yield the following rankings for visual grouping: motion > (dynamic luminance, size, luminance); dynamic size > (dynamic luminance, position); and dynamic luminance > size. We also conducted a follow-up experiment to evaluate the three dynamic visual factors in a more ecologically valid setting, using both a Gapminder-like animated scatterplot and a thematic map of election data.The results indicate that in practice the relative grouping strengths of these factors may depend on various parameters including the visualization characteristics and the underlying data. We discuss design implications for animated transitions in data visualization.

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“…In the longer term, as interactive graph visualization is an active research topic in the team (see, e.g., [4,32]), we are also contemplating the possibility to generate an advanced, interactive visualization similar in spirit to the Linking Open Data cloud diagram [1] using the dataset descriptions stored in LODAtlas. The prioritization of new features will depend on feedback from the community.…”

Section: Availability Sustainability and Future Workmentioning

confidence: 99%

Browsing Linked Data Catalogs with LODAtlas

Pietriga

Gözükan²,

Appert³

et al. 2018

Lecture Notes in Computer Science

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The Web of Data is growing fast, as exemplified by the evolution of the Linked Open Data (LOD) cloud over the last ten years. One of the consequences of this growth is that it is becoming increasingly difficult for application developers and end-users to find the datasets that would be relevant to them. Semantic Web search engines, open data catalogs, datasets and frameworks such as LODStats and LOD Laundromat, are all useful but only give partial, even if complementary, views on what datasets are available on the Web. We introduce LODAtlas, a portal that enables users to find datasets of interest. Users can make different types of queries about both the datasets' metadata and contents, aggregated from multiple sources. They can then quickly evaluate the matching datasets' relevance, thanks to LODAtlas' summary visualizations of their general metadata, connections and contents.

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Animated Edge Textures in Node-Link Diagrams

Cited by 21 publications

References 42 publications

Expressive Authoring of Node-Link Diagrams With Graphies

Expressive Authoring of Node-Link Diagrams With Graphies

Common Fate for Animated Transitions in Visualization

Browsing Linked Data Catalogs with LODAtlas

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