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Dynamic Graph Visualization with Multiple Visual Metaphors

Proceedings of the 8th International Symposium on Visual Information Communication and Interaction, 2015
Visualizing dynamic graphs is challenging due to the many data dimensions to be displayed such as graph vertices and edges with their attached weights or attributes and the additional time dimension. Moreover, edge directions with multiplicities and the graph topology are also important inherent features.
openaire   +1 more source

Visual analysis of compound graphs

2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2016
Compound graphs consist of two separate components. On the one hand a graph structure describes which elements are related to each other and to what extent, i.e., inherent edge weights and directions may exist, which we refer to as adjacency edges.
openaire   +1 more source

Graph partitioning and visualization in graph mining: a survey

Multimedia Tools and Applications, 2022
Swati A. Bhavsar   +2 more
openaire   +1 more source

Visual graphs

Proceedings 1999 IEEE Symposium on Visual Languages, 1999
openaire   +1 more source

Program graph visualization

Software: Practice and Experience, 1997
Plínio Roberto Souza Vilela   +2 more
openaire   +1 more source

Graph Visualization

2018
Peter Eades, Karsten Klein
  +4 more sources

Approaching human vision perception to designing visual graph in data visualization

Concurrency Computation Practice and Experience, 2021
Phuoc Tran Vinh, Truong Le Xuan
exaly  

VISUAL OBJECT GRAPHS

2023
KIM ERIC, KISLYUK DMITRY OLEGOVICH
openaire   +2 more sources

CGV—An interactive graph visualization system

Computers and Graphics, 2009
Christian Tominski, Heidrun Schumann
exaly  

A Taxonomy and Survey of Dynamic Graph Visualization

Computer Graphics Forum, 2017
Stephan Diehl   +2 more
exaly  

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