Visual Analytics For Networks
Visual Analytics for Networks is a scholarly framework that integrates interactive visual interfaces with analytical methods to enable the exploration, interpretation, and comprehension of complex network structures and dynamics through human-in-the-loop data analysis.
199
Publications
10.9K
Citations
626
Authors
294
Institutions
Publications per year
2017–2026
45
Parents
199
Analyzing (social media) networks with NodeXL
Marc A. Smith, Ben Shneiderman, Nataša Milić-Frayling et al. · 2009 · 502 citations
Computing, Sociology, Visualization +14
James Moody, Daniel A. McFarland, Skye Bender‐deMoll · American Journal of Sociology · 2005 · 496 citations
Computing, Sociology, Visualization +16
1–5 of 199
626
9
h-index
6
h-index
6
h-index
5
h-index
5
h-index
1–5 of 626
294
University of California, Davis
Davis, United States
10 h-index
30 publications
1.3K citations
University of Konstanz
Konstanz, Germany
9 h-index
20 publications
1.1K citations
University of Maryland, College Park
College Park, United States
8 h-index
26 publications
3.1K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
16 publications
913 citations

TU Wien
Vienna, Austria
7 h-index
24 publications
533 citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
24 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
9 publications
1.2K citations

Pacific Northwest National Laboratory
Richland, United States
5 h-index
21 publications
650 citations
1–8 of 294
TVCG · 22 publications · 2.1K citations
19
h-index
7 publications · 522 citations
7
h-index
4 publications · 198 citations
4
h-index
4 publications · 86 citations
4
h-index
3 publications · 55 citations
3
h-index
1–5