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APVIS
2007
15 years 8 months ago
Interpreting large visual similarity matrices
Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
CRIWG
2010
15 years 8 months ago
Supporting Asynchronous Workspace Awareness by Visualizing the Story Evolution in Collaborative Storytelling
Abstract. Workspace awareness support is mandatory for group support systems. In this paper, we present a novel approach to asynchronous awareness by means of traceability support....
Jana Schumann, Tanja Buttler, Stephan Lukosch
IRCDL
2010
15 years 8 months ago
Interactive Visual Representations of Complex Information Structures
One of the most challenging issues in managing the large and diverse data available on the World Wide Web is the design of interactive systems to organize and represent information...
Gianpaolo D'Amico, Alberto Del Bimbo, Marco Meoni
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
15 years 8 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
GRAPHICSINTERFACE
2008
15 years 8 months ago
The effects of peripheral vision and physical navigation on large scale visualization
Large high-resolution displays have been shown to improve user performance over standard displays on many large-scale visualization tasks. But what is the reason for the improveme...
Robert Ball, Chris North