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Information Visualization

Subject Areas: Computer Vision and Pattern Recognition
Publisher: SAGE Publications - SAGE
ISSN: 1473-8716
SJR: 49

LitStream

Journal Article

Enhancing graph drawings through edge bundling using clustering ensembles

Vieira, Raissa dos Santos; do Nascimento, Hugo Alexandre Dantas; Ferreira, Joelma de Moura; Foulds, Les

2024 Information Visualization

doi:10.1177/14738716241239619

Edge bundling is a technique used to improve the readability of large graph drawings by grouping edges to reduce visual complexity. This paper treats this task as a clustering problem, using compatibility metrics to evaluate solutions in an optimization pipeline combined with a clustering...
LitStream

Journal Article

Towards an understanding and explanation for mixed-initiative artificial scientific text detection

Weng, Luoxuan; Liu, Shi; Zhu, Hang; Sun, Jiashun; Kam-Kwai, Wong; Han, Dongming; Zhu, Minfeng; Chen, Wei

2024 Information Visualization

doi:10.1177/14738716241240156

Large language models (LLMs) have gained popularity in various fields for their exceptional capability of generating human-like text. Their potential misuse has raised social concerns about plagiarism in academic contexts. However, effective artificial scientific text detection is a non-trivial...
Open Access

Journal Article

From word clouds to Word Rain: Revisiting the classic word cloud to visualize climate change texts

Skeppstedt, Maria; Ahltorp, Magnus; Kucher, Kostiantyn; Lindström, Matts

2024 Information Visualization

doi:10.1177/14738716241236188

Word Rain is a development of the classic word cloud. It addresses some of the limitations of word clouds, in particular the lack of a semantically motivated positioning of the words, and the use of font size as a sole indicator of word prominence. Word Rain uses the semantic information encoded...
Open Access

Journal Article

Principal trade-off analysis

Strang, Alexander; Sewell, David; Kim, Alexander; Alcedo, Kevin; Rosenbluth, David

2024 Information Visualization

doi:10.1177/14738716241239018

How are the advantage relations between a set of agents playing a game organized and how do they reflect the structure of the game? In this paper, we illustrate ‘Principal Trade-off Analysis’ (PTA), a decomposition method that embeds games into a low-dimensional feature space. We argue that the...
Open Access

Journal Article

ProtoExplorer: Interpretable forensic analysis of deepfake videos using prototype exploration and refinement

Bouter, Merel de Leeuw den; Pardo, Javier Lloret; Geradts, Zeno; Worring, Marcel

2024 Information Visualization

doi:10.1177/14738716241238476

In high-stakes settings, Machine Learning models that can provide predictions that are interpretable for humans are crucial. This is even more true with the advent of complex deep learning based models with a huge number of tunable parameters. Recently, prototype-based methods have emerged as a...

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