This dataset is a network representation of authors linked to the publications they have authored or co-authored, collected from OpenAlex.org using the free, open-source tool available at https://openalex4nodexl.netlify.app/. It is provided as a CSV flat file, formatted for use with NodeXL, a popular tool for social network analysis.
<p><span style="font-size: 12pt; font-family: 'Times New Roman', serif;" lang="EN-US">We have synthesized the latest developments over the past two decades using a bibliometric approach, drawing data from the Web of Science Core Collection database from January 2000 to May 2023.
A viewer's existing beliefs can prevent accurate reasoning with data visualizations. In particular, confirmation bias can cause people to overweigh information that confirms their beliefs, and dismiss information that disconfirms them. We tested whether confirmation bias exists when people reason with visualized data and whether certain visualization designs can elicit less biased reasoning strategies. We asked crowdworkers to solve reasoning problems that had the potential to evoke both poor reasoning strategies and confirmation bias.
Raw data files for Exp 1 and Exp 2: My virtual self: the role of movement in children’s sense of embodiment
Hayley Dewe*, Janna M. Gottwald*, Laura-Ashleigh Bird, Harry Brenton, Marco Gillies, & Dorothy Cowie (2021)
A collection of about 30K images that represents figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST).
The dataset contains the stress tensor field data used to test various glyph placement strategy in the upcoming paper, at time when this dataset was uploaded - “Visualization of 3D stress tensor fields using superquadric glyphs on displacement streamlines.” The tensor field generation procedure is described in the supplementary information of the paper. Here, we provide the actual stress tensor fields that were generated for the glyph placement comparison study.
