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Exploring the Limits of Complexity: A Survey of Empirical Studies on
  Graph Visualisation

Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation

2 September 2018
Vahan Yoghourdjian
D. Archambault
S. Diehl
Tim Dwyer
Karsten Klein
H. Purchase
Hsiang-Yun Wu
ArXiv (abs)PDFHTML

Papers citing "Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation"

5 / 5 papers shown
Title
Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation
Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation
Yalong Yang
Tim Dwyer
Sarah Goodwin
Kim Marriott
41
87
0
06 Aug 2019
What Would a Graph Look Like in This Layout? A Machine Learning Approach
  to Large Graph Visualization
What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization
Oh-Hyun Kwon
Tarik Crnovrsanin
K. Ma
17
66
0
11 Oct 2017
Visual Similarity Perception of Directed Acyclic Graphs: A Study on
  Influencing Factors
Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors
K. Ballweg
M. Pohl
Günter Wallner
T. V. Landesberger
33
8
0
04 Sep 2017
Evaluation of two interaction techniques for visualization of dynamic
  graphs
Evaluation of two interaction techniques for visualization of dynamic graphs
P. Federico
Silvia Miksch
30
8
0
31 Aug 2016
Node, Node-Link, and Node-Link-Group Diagrams: An Evaluation
Node, Node-Link, and Node-Link-Group Diagrams: An Evaluation
Bahador Saket
Paolo Simonetto
Stephen Kobourov
K. Börner
79
63
0
07 Apr 2014
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