The National Research Infrastructure for Visualisation of Data will create a common gateway to Swedish visualization resources across 9 universities.
This doctoral project aims to explore the use of embedding technologies for visual and computational analytics on large multivariate networks.
Visual analysis of (eventually dynamically changing) network structures together with attached multidimensional attributes.
Visual Analytics for Applications in Software Engineering
Visual representation and exploratory data analysis for scientific publication data, including co-authorship and affiliation networks.
This project aims to develop VA principles, techniques and tools for analyzing data and models with applications in the broad context of complex systems.
Support the analysis of heterogeneous networks on multiple levels by novel visual representations and interaction techniques.
Combining computational methods and interactive visual interfaces to facilitate the analysis of opinions, topics, and themes recurring in text collections.
Advances in the Description and Explanation of Stance in Discourse Using Visual and Computational Text Analytics
Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering
Collaborative visualization allows multiple users to communicate, interact and explore a visualization by building on the different views and knowledge blocks contributed by each person.
We use EEG-devices to measure subjective parameters in evaluations and to dynamically adapt visualization according to the user's emotional state.
Interactive visualizations of large and complex biological networks, such as metabolic, regulatory, or protein-protein interaction networks.
Visualizing textual sensory descriptions of specific wines, such as its taste or flavor, in order to support the "right" choice or the better understanding of wine descriptions.
Structured Hypermedia Algorithm Explanation
