Time sequences

Shannon, Ross; Quigley, Aaron; Nixon, Paddy

doi:10.1145/1520340.1520709

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…Our second step was to find possible visual encodings that could represent graph objects, their properties, and the possible changes which they may undergo ( Figure 4.2). We derived a list of objects and events based on several taxonomies reporting on graphs and changes in graphs [33,3,42,48,1,30]. Possible changes include node and edge appearance and disappearance, birth of cluster, splitting of clusters.…”

Section: : Understanding Traditional Comicsmentioning

confidence: 99%

Telling Stories about Dynamic Networks with Graph Comics

Bach

Kerracher

Hall

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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In this paper, we explore graph comics as a medium to communicate changes in dynamic networks. While previous research has focused on visualizing dynamic networks for data exploration, we want to see if we can take advantage of the visual expressiveness and familiarity of comics to present and explain temporal changes in networks to an audience. To understand the potential of comics as a storytelling medium, we first created a variety of comics during a 3 month structured design process, involving domain experts from public education and neuroscience. This process led to the definition of 8 design factors for creating graph comics and propose design solutions for each. Results from a qualitative study suggest that a general audience is quickly able understand complex temporal changes through graph comics, provided with minimal textual annotations and no training.

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