The state of the art in visualizing multivariate networks

C Nobre, M Meyer, M Streit, A Lex - Computer Graphics Forum, 2019 - Wiley Online Library
Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Geospatial big data and cartography: research challenges and opportunities for making maps that matter

AC Robinson, U Demšar, AB Moore… - International Journal …, 2017 - Taylor & Francis
Geospatial big data present a new set of challenges and opportunities for cartographic
researchers in technical, methodological and artistic realms. New computational and …

[PDF][PDF] Feminist data visualization

C d'Ignazio, LF Klein - Workshop on visualization for the digital …, 2016 - academia.edu
In this paper, we begin to outline how feminist theory may be productively applied to
information visualization research and practice. Other technology-and design-oriented fields …

Visual text analysis in digital humanities

S Jänicke, G Franzini, MF Cheema… - Computer graphics …, 2017 - Wiley Online Library
Abstract In 2005, Franco Moretti introduced Distant Reading to analyse entire literary text
collections. This was a rather revolutionary idea compared to the traditional Close Reading …

Bridging text visualization and mining: A task-driven survey

S Liu, X Wang, C Collins, W Dou… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization

MN Hoque, T Mashiat, B Ghai, CD Shelton… - Proceedings of the CHI …, 2024 - dl.acm.org
The use of Large Language Models (LLMs) for writing has sparked controversy both among
readers and writers. On one hand, writers are concerned that LLMs will deprive them of …

Artificial intelligence-based medical data mining

A Zia, M Aziz, I Popa, SA Khan, AF Hamedani… - Journal of Personalized …, 2022 - mdpi.com
Understanding published unstructured textual data using traditional text mining approaches
and tools is becoming a challenging issue due to the rapid increase in electronic open …

Bridging from goals to tasks with design study analysis reports

H Lam, M Tory, T Munzner - IEEE transactions on visualization …, 2017 - ieeexplore.ieee.org
Visualization researchers and practitioners engaged in generating or evaluating designs are
faced with the difficult problem of transforming the questions asked and actions taken by …

Visualizing nonlinear narratives with story curves

NW Kim, B Bach, H Im, S Schriber… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we present story curves, a visualization technique for exploring and
communicating nonlinear narratives in movies. A nonlinear narrative is a storytelling device …

The state of the art in map‐like visualization

M Hogräfer, M Heitzler, HJ Schulz - Computer Graphics Forum, 2020 - Wiley Online Library
Cartographic maps have been shown to provide cognitive benefits when interpreting data in
relation to a geographic location. In visualization, the term map‐like describes techniques …