A Task Taxonomy for Temporal Graph Visualisation

Kerracher, Natalie; Kennedy, Jessie; Chalmers, Kevin

doi:10.1109/tvcg.2015.2424889

Cited by 75 publications

(124 citation statements)

References 23 publications

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“…For this reason, advanced visualization systems provide multiple spatiotemporal views as a "solomonic" design strategy-not to sacrifice the benefits of alternative perspectives, but to offer multiple ones. This allows one to "maximise insight, balance the strengths and weaknesses of individual views, and avoid misinterpretation" [53] (p. 9), and enables the user to select and switch between the most appropriate representations for the data and task at hand (ibidem, p. 10). For storytelling visualizations, multiple views offer different perspectives on a story, highlight different event indices, and let the user construct a more elaborated internal representation.…”

Section: Spatiotemporal Visualization Methodsmentioning

confidence: 99%

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Mayr

Windhager

2018

IJGI

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Stories are an essential mode, not only of human communication-but also of thinking. This paper reflects on the internalization of stories from a cognitive perspective and outlines a visualization framework for supporting the analysis of narrative geotemporal data. We discuss the strengths and limitations of standard techniques for representing spatiotemporal data (coordinated views, animation or slideshow, layer superimposition, juxtaposition, and space-time cube representation) and think about their effects on mental representations of a story. Many current visualization systems offer multiple views and allow the user to investigate different aspects of a story. From a cognitive point of view, it is important to assist users in reconnecting these multiple perspectives into a coherent picture-e.g., by utilizing coherence techniques like seamless transitions. A case study involving visualizing biographical narratives illustrates how the design of advanced visualization systems can be cognitively and conceptually grounded to support the construction of an integrated internal representation.

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Section: Spatiotemporal Visualization Methodsmentioning

confidence: 99%

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Mayr

Windhager

2018

IJGI

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“…Which of the properties are of interest, however, highly depends on the application the graph structure is used for. Typical graph analysis tasks are described elsewhere, for static graphs [LPP*06] and specialized for dynamic graphs [APS13, AP13a, BPF14a, KKC15].…”

Section: Dynamic Graph Datamentioning

confidence: 99%

“…Kerracher et al . [KKC14] systematically describe the design space of dynamic graph visualizations. Hadlak et al .…”

Section: Introductionmentioning

confidence: 99%

A Taxonomy and Survey of Dynamic Graph Visualization

Beck

Burch

Diehl

et al. 2016

Computer Graphics Forum

274

249

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Dynamic graph visualization focuses on the challenge of representing the evolution of relationships between entities in readable, scalable and effective diagrams. This work surveys the growing number of approaches in this discipline. We derive a hierarchical taxonomy of techniques by systematically categorizing and tagging publications. While static graph visualizations are often divided into node-link and matrix representations, we identify the representation of time as the major distinguishing feature for dynamic graph visualizations: either graphs are represented as animated diagrams or as static charts based on a timeline. Evaluations of animated approaches focus on dynamic stability for preserving the viewer's mental map or, in general, compare animated diagrams to timeline-based ones. A bibliographic analysis provides insights into the organization and developmentof the field and its community. Finally, we identify and discuss challenges for future research. We also provide feedback from experts, collected with a questionnaire, which gives a broad perspective of these challenges and the current state of the field.

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“…Previous efforts to classify the visual techniques into taxonomic categories are presented in the literature [2,13,6]. Nevertheless, the area still lacks systems that cover more temporal techniques.…”

Section: Related Workmentioning

confidence: 99%

DyNetVis

Linhares

Travençolo

Paiva

et al. 2017

Proceedings of the Symposium on Applied Computing

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The concept of networks has been important in the study of complex systems. In networks, links connect pairs of nodes forming complex structures. Studies have shown that networks not only contain structure but may also evolve in time. The addition of the temporal dimension adds complexity on the analysis and requests the development of innovative methods for the visualization of real-life networks. In this paper we introduce the Dynamic Network Visualization System (DyNetVis), a software tool for visualization of dynamic networks. The system provides several tools for user interaction and offers two coordinated visual layouts, named structural and temporal. Structural refers to standard network drawing techniques, in which a single snapshot of nodes and links are placed in a plane, whereas the temporal layout allows for simultaneously visualization of several temporal snapshots of the dynamic network. In addition, we also investigate two approaches for temporal layout visualization: (i) Recurrent Neighbors, a node ordering strategy that highlights frequent connections in time, and (ii) Temporal Activity Map (TAM), a layout technique with focus on nodes activity. We illustrate the applicability of the layouts and interaction functionalities provided by the system in two visual analysis case studies, demonstrating their advantages to improve the overall user experience on visualization and exploratory data analysis on dynamic networks.

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A Task Taxonomy for Temporal Graph Visualisation

Cited by 75 publications

References 23 publications

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

Once upon a Spacetime: Visual Storytelling in Cognitive and Geotemporal Information Spaces

A Taxonomy and Survey of Dynamic Graph Visualization

DyNetVis

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