Uncertainty in humanities network visualization
Abstrak
Network visualization is one of the most widely used tools in digital humanities research. The idea of uncertain or “fuzzy” data is also a core notion in digital humanities research. Yet network visualizations in digital humanities do not always prominently represent uncertainty. In this article, we present a mathematical and logical model of uncertainty as a range of values which can be used in network visualizations. We review some of the principles for visualizing uncertainty of different kinds, visual variables that can be used for representing uncertainty, and how these variables have been used to represent different data types in visualizations drawn from a range of non-humanities fields like climate science and bioinformatics. We then provide examples of two diagrams: one in which the variables displaying degrees of uncertainty are integrated/pinto the graph and one in which glyphs are added to represent data certainty and uncertainty. Finally, we discuss how probabilistic data and what-if scenarios could be used to expand the representation of uncertainty in humanities network visualizations.
Topik & Kata Kunci
Penulis (22)
Melanie Conroy
Christina Gillmann
Francis Harvey
Francis Harvey
Tamara Mchedlidze
Sara Irina Fabrikant
Florian Windhager
Gerik Scheuermann
Timothy R. Tangherlini
Christopher N. Warren
Scott B. Weingart
Malte Rehbein
Katy Börner
Kimmo Elo
Stefan Jänicke
Andreas Kerren
Andreas Kerren
Martin Nöllenburg
Tim Dwyer
Øyvind Eide
Stephen Kobourov
Gregor Betz
Akses Cepat
- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.3389/fcomm.2023.1305137
- Akses
- Open Access ✓