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HyperStorylines: Interactively untangling dynamic hypergraphs

Vanessa Pena Araya 1 Tong Xue 1 Emmanuel Pietriga 1 Laurent Amsaleg 2 Anastasia Bezerianos 1 
1 ILDA - Interacting with Large Data
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, IaH - Interaction avec l'Humain
2 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : We present the design and evaluation of HyperStorylines, a technique that generalizes Storylines to visualize the evolution of relationships involving multiple types of entities such as, for example, people, locations, and companies. Datasets which describe such multi-entity relationships are often modeled as hypergraphs, that can be difficult to visualize, especially when these relationships evolve over time. HyperStorylines builds upon Storylines, enabling the aggregation and nesting of these dynamic, multi-entity relationships. We report on the design process of HyperStorylines, which was informed by discussions and workshops with data journalists; and on the results of a comparative study in which participants had to answer questions inspired by the tasks that journalists typically perform with such data. We observe that although HyperStorylines takes some practice to master, it performs better for identifying and characterizing relationships than the selected baseline visualization (PAOHVis) and was preferred overall.
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https://hal.inria.fr/hal-03352276
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Submitted on : Thursday, September 23, 2021 - 9:41:46 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Friday, December 24, 2021 - 8:46:20 PM

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Vanessa Pena Araya, Tong Xue, Emmanuel Pietriga, Laurent Amsaleg, Anastasia Bezerianos. HyperStorylines: Interactively untangling dynamic hypergraphs. Information Visualization, SAGE Publications, 2021, pp.1-21. ⟨10.1177/14738716211045007⟩. ⟨hal-03352276⟩

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