@article{BludauDoerkTominski, author = {Bludau, Mark-Jan and D{\"o}rk, Marian and Tominski, Christian}, title = {Unfolding Edges}, series = {Computer Graphics Forum}, volume = {42}, journal = {Computer Graphics Forum}, number = {3}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {0167-7055}, doi = {10.1111/cgf.14831}, pages = {297 -- 309}, abstract = {Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize attributes of edges. In this work, we focus on the critical importance of edge attributes for interpreting network visualizations and building trust in the underlying data. We propose 'unfolding of edges' as an interactive approach to integrate multivariate edge attributes dynamically into existing node-link diagrams. Unfolding edges is an in-situ approach that gradually transforms basic links into detailed representations of the associated edge attributes. This approach extends focus+context, semantic zoom, and animated transitions for network visualizations to accommodate edge details on-demand without cluttering the overall graph layout. We explore the design space for the unfolding of edges, which covers aspects of making space for the unfolding, of actually representing the edge context, and of navigating between edges. To demonstrate the utility of our approach, we present two case studies in the context of historical network analysis and computational social science. For these, web-based prototypes were implemented based on which we conducted interviews with domain experts. The experts' feedback suggests that the proposed unfolding of edges is a useful tool for exploring rich edge information of multivariate graphs.}, subject = {Visualisierung}, language = {en} } @inproceedings{BludauDoerkTominski, author = {Bludau, Mark-Jan and D{\"o}rk, Marian and Tominski, Christian}, title = {Unfolding Edges for Exploring Multivariate Edge Attributes in Graphs}, series = {21st Eurographics Conference on Visualization}, booktitle = {21st Eurographics Conference on Visualization}, editor = {Byska, Jan and J{\"a}nicke, Stefan and Schmidt, Johanna}, publisher = {Eurographics Association}, address = {Niederlande}, isbn = {978-3-03868-143-4}, doi = {10.2312/evp.20211070}, pages = {17 -- 19}, abstract = {With this research we present an approach to network visualization that expands the capabilities for visual encoding and interactive exploration through edges in node-link diagrams. Compared to the various possibilities for visual and interactive properties of nodes, there are few techniques for interactive visualization of multivariate edge attributes in node-link diagrams. Visualization of edge attributes is oftentimes limited by occlusion and space issues of methods that globally encode attributes in a node-link diagram for all edges, not sufficiently exploiting the potential of interaction. Building up on existing techniques for edge encoding and interaction, we propose 'Unfolding Edges' as an exemplary use of an on-demand detail enhancing approach for exploration of multivariate edge attributes.}, subject = {Graph}, language = {en} } @article{BludauDoerkBruckneretal., author = {Bludau, Mark-Jan and D{\"o}rk, Marian and Bruckner, Stefan and Tominski, Christian}, title = {Fluidly Revealing Information}, series = {Computer Graphics Forum}, volume = {44}, journal = {Computer Graphics Forum}, number = {3}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {0167-7055}, doi = {10.1111/cgf.70152}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:525-36719}, pages = {26}, abstract = {Revealing relevant information on demand is an essential requirement for visual data exploration. In this state-of-the-art report, we review and classify techniques that are inspired by the physical metaphor of un/folding to reveal relevant information or, conversely, to reduce irrelevant information in data visualizations. Similar to focus+context approaches, un/foldable visualizations transform the visual data representation, often between different granularities, in an integrated manner while preserving the overall context. This typically involves switching between different visibility states of data elements or adjusting the graphical abstraction linked by gradual display transitions. We analyze a literature corpus of 101 visualization techniques specifically with respect to their use of the un/folding metaphor. In particular, we consider the type of data, the focus scope and the effect scope, the number of un/folding states, the transformation type, and the controllability and interaction directness of un/folding. The collection of un/foldables is available as an online catalog that includes classic focus+context, semantic zooming, and multi-scale visualizations as well as contemporary un/foldable visualizations. From our literature analysis, we further extract families of un/folding techniques, summarize empirical findings to date, and identify promising research directions for un/foldable data visualization.}, subject = {Falten}, language = {en} }