Chronicler

Wittenhagen, Moritz; Cherek, Christian; Borchers, Jan

doi:10.1145/2858036.2858442

Cited by 15 publications

(1 citation statement)

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“…They found their approach works better for both temporal and topology tasks, and for tasks involving focus on an individual node. Other studies [WPZ * 15, WCB16] show that list‐view‐based visualizations with integrated timelines work better than node‐link visualizations regarding completion time and error rate for exploratory tasks, but no significant difference for navigation tasks.…”

Section: Discussionmentioning

confidence: 99%

The State of the Art in Visualizing Dynamic Multivariate Networks

Kale

Sun

Papka

2023

Computer Graphics Forum

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Most real‐world networks are both dynamic and multivariate in nature, meaning that the network is associated with various attributes and both the network structure and attributes evolve over time. Visualizing dynamic multivariate networks is of great significance to the visualization community because of their wide applications across multiple domains. However, it remains challenging because the techniques should focus on representing the network structure, attributes and their evolution concurrently. Many real‐world network analysis tasks require the concurrent usage of the three aspects of the dynamic multivariate networks. In this paper, we analyze current techniques and present a taxonomy to classify the existing visualization techniques based on three aspects: temporal encoding, topology encoding, and attribute encoding. Finally, we survey application areas and evaluation methods; and discuss challenges for future research.

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Section: Discussionmentioning

confidence: 99%