Concepedia

Edge Uncertainty Visualization

Edge Uncertainty Visualization is a visualization method designed to encode and communicate the uncertainty associated with the presence, strength, or structure of edges in network representations, distinguishing it from other uncertainty visualization techniques by its specific focus on relational data uncertainties.

2

Publications

76

Citations

6

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–2 of 2

Authors

6

  1. HG
    Hua Guo

    Brown University, United States

    1 publications · 59 citations

    1

    h-index

  2. DH
    David H. Laidlaw

    Brown University, United States

    1 publications · 59 citations

    1

    h-index

  3. JH
    Jeff Huang

    Brown University, United States

    1 publications · 59 citations

    1

    h-index

  4. LS
    Lisa Singh

    Georgetown University, United States

    1 publications · 17 citations

    1

    h-index

  5. NE
    Nathaniel E. Cesario

    University of California, Santa Cruz, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 6

Institutions

3

  1. University of California, Santa Cruz

    Santa Cruz, United States

    1 h-index

    2 publications

    34 citations

  2. Georgetown University

    Washington, United States

    1 h-index

    1 publications

    17 citations

  3. Brown University

    Providence, United States

    1 h-index

    3 publications

    177 citations

1–3 of 3

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 59 citations

    1

    h-index

  2. 1

    h-index

1–2