Network Attribute Visualization

Network Attribute Visualization is a method within multivariate data visualization that encodes node or edge attributes of a network as visual variables—such as color, size, or shape—to reveal patterns, relationships, and structural properties inherent in both the network topology and its associated attributes.

5

Publications

280

Citations

16

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

16

  1. MZ
    Masum Z. Hasan

    University of Toronto, Canada

    1 publications · 21 citations

    1

    h-index

  2. RC
    Ricardo Cava

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 15 citations

    1

    h-index

  3. PD
    Pierre Dragicevic

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 150 citations

    1

    h-index

  4. AK
    Andreas Kerren

    Linnaeus University, Sweden

    1 publications · 28 citations

    1

    h-index

  5. MW
    Marco Winckler

    Université Toulouse III - Paul Sabatier, France

    1 publications · 15 citations

    1

    h-index

1–5 of 16

Venues

  1. The R Journal

    1 publications · 66 citations

    1

    h-index

  2. Computer Graphics Forum

    1 publications · 150 citations

    1

    h-index

1–2