Network Data Exploration
Network Data Exploration is a method within the field of visual data exploration that specifically enables the immersive examination and interaction with relational data structures by encoding entities and their interconnections in multidimensional visual environments to reveal patterns, clusters, and anomalies inherent in complex networks.
114
Publications
16.6K
Citations
398
Authors
197
Institutions
Publications per year
2017–2026
41
114
Analysis and Visualization of Network Data using JUNG
Joshua O’Madadhain, Danyel Fisher, Padhraic Smyth et al. · 2005 · 275 citations
VisANT: data-integrating visual framework for biological networks and modules
Z. Hu, J. Mellor, Jie Wu et al. · Nucleic Acids Research · 2005 · 179 citations · Full text
1–5 of 114
398
Institut national de recherche en sciences et technologies du numérique, France
4 publications · 305 citations
4
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 398
197
University of Maryland, College Park
College Park, United States
6 h-index
15 publications
534 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
15 publications
504 citations
AT&T (United States)
Bedminster, United States
4 h-index
11 publications
1.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
18 publications
338 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
316 citations
University of Washington
Seattle, United States
3 h-index
6 publications
1K citations
Université Claude Bernard Lyon 1
Villeurbanne, France
3 h-index
8 publications
312 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
9 publications
423 citations
1–8 of 197
TVCG · 9 publications · 1K citations
9
h-index
2 publications · 148 citations
3
h-index
3 publications · 200 citations
3
h-index
3 publications · 85 citations
3
h-index
2 publications · 85 citations
2
h-index
1–5