The Design Space of Temporal Graph Visualisation

Kerracher, Natalie; Kennedy, Jessie; Chalmers, Kevin

doi:10.2312/eurovisshort.20141149

Cited by 9 publications

(3 citation statements)

References 89 publications

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“…Exploring the disciplines' design spaces beyond node‐link layouts is a recurring point that comes up in multiple surveys and we consider this to be a cross‐cutting challenge identified in dynamic [ KKC14 , BBDW17 ], group [ SS06 ], multi‐variate [ NMSL19 ], and multi‐layer network visualization [ MGM*19 ]. These surveys outline and suggest exploring new combinations of visualization techniques as well as some of the under‐investigated categories from their respective design spaces.…”

Section: Surveys Discussionmentioning

confidence: 99%

“…The majority of research focuses on the temporal facet composition, specifically on techniques ranging from juxtaposition to animation. Other methods have been explored [ KKC14 ], with the exception of “multiple views” that has not been investigated, in this context, as a composition method for the time facet. Concerning the network representation, there is more balance between node‐link and matrix representations.…”

Section: Discussionmentioning

confidence: 99%

“…Several surveys point out how tabular techniques present an interesting yet underdeveloped potential for network visualization. As matrix‐based representations of networks present several advantages compared to the more popular node‐link approaches, they have been highlighted as promising future research directions for the visualization of dynamic and multi‐variate networks [ KKC14 , BBDW17 , NMSL19 ]. The use of this representation has not been experimented with in all network visualization disciplines (see Table 5 ), leaving several future work opportunities, especially considering the use of existing reordering techniques.…”

Section: Discussionmentioning

confidence: 99%

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Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies

Filipov

Arleo

Miksch

2023

Computer Graphics Forum

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Networks are abstract and ubiquitous data structures, defined as a set of data points and relationships between them. Network visualization provides meaningful representations of these data, supporting researchers in understanding the connections, gathering insights, and detecting and identifying unexpected patterns. Research in this field is focusing on increasingly challenging problems, such as visualizing dynamic, complex, multivariate, and geospatial networked data. This ever‐growing, and widely varied, body of research led to several surveys being published, each covering one or more disciplines of network visualization. Despite this effort, the variety and complexity of this research represents an obstacle when surveying the domain and building a comprehensive overview of the literature. Furthermore, there exists a lack of clarification and uniformity between the terminology used in each of the surveys, which requires further effort when mapping and categorizing the plethora of different visualization techniques and approaches. In this paper, we aim at providing researchers and practitioners alike with a “roadmap” detailing the current research trends in the field of network visualization. We design our contribution as a meta‐survey where we discuss, summarize, and categorize recent surveys and task taxonomies published in the context of network visualization. We identify more and less saturated disciplines of research and consolidate the terminology used in the surveyed literature. We also survey the available task taxonomies, providing a comprehensive analysis of their varying support to each network visualization discipline and by establishing and discussing a classification for the individual tasks. With this combined analysis of surveys and task taxonomies, we provide an overarching structure of the field, from which we extrapolate the current state of research and promising directions for future work.

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