• Treffer 6 von 15
Zurück zur Trefferliste

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.zeige mehrzeige weniger

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar
Metadaten
Verfasserangaben:Mark-Jan BludauORCiD, Marian DörkORCiD, Christian Tominski
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):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.