Node Encoding

Node Encoding is a visual encoding scheme in network visualization that maps node-level data (such as structural, attribute, or temporal properties) to graphical variables (such as position, size, color, and shape) in order to convey information about individual nodes within a network.

18

Publications

710

Citations

54

Authors

39

Institutions

Publications per year

2017–2026

6

Authors

54

  1. JB
    Jehoshua Bruck

    California Institute of Technology, United States

    2 publications · 176 citations

    2

    h-index

  2. AS
    Alex Sprintson

    Texas A&M University, United States

    2 publications · 176 citations

    2

    h-index

  3. ML
    Michael Langberg

    Open University of Israel, Israel

    2 publications · 176 citations

    2

    h-index

  4. JP
    Jean Paul Lauzon

    University at Buffalo, State University of New York, United States

    1 publications · 53 citations

    1

    h-index

  5. KS
    Kai Sheng

    Nanjing Tech University, China

    1 publications · 20 citations

    1

    h-index

1–5 of 54

Venues

  1. IEEE Transactions on Information Theory

    4 publications · 237 citations

    4

    h-index

  2. Memory & Cognition

    2 publications · 87 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. Pattern Recognition

    1 publications · 39 citations

    1

    h-index

  5. Computer Vision Graphics and Image Processing

    1 publications · 53 citations

    1

    h-index

1–5