Unfolding Edges
- 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 navigatingExisting 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.…
Verfasserangaben: | Mark-Jan BludauORCiD, Marian DörkORCiD, Christian Tominski |
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DOI: | https://doi.org/10.1111/cgf.14831 |
ISSN: | 0167-7055 |
Titel des übergeordneten Werkes (Englisch): | Computer Graphics Forum |
Untertitel (Englisch): | Adding Context to Edges in Multivariate Graph Visualization |
Verlag: | Wiley-Blackwell |
Verlagsort: | Oxford |
Dokumentart: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2023 |
Veröffentlichende Institution: | Fachhochschule Potsdam |
Datum der Freischaltung: | 17.10.2023 |
Freies Schlagwort / Tag: | Node-Link Diagram |
GND-Schlagwort: | Visualisierung; Computational Social Science |
Jahrgang: | 42 |
Ausgabe / Heft: | 3 |
Erste Seite: | 297 |
Letzte Seite: | 309 |
Fachbereiche und Zentrale Einrichtungen: | FB4 Design |
Forschungs- und An-Institute / Inst. für angewandte Forschung Urbane Zukunft (IaF) | |
DDC-Klassifikation: | 000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme |
Lizenz (Deutsch): | Creative Commons - CC BY - Namensnennung 4.0 International |