Network Data Uncertainty

Network Data Uncertainty is a type of uncertainty in network visualization that arises from imprecision, incompleteness, or randomness in the underlying network structure or attributes, distinguishing it from other visualization-related uncertainties by originating directly in the data rather than in visual mapping or interpretation processes.

35

Publications

2K

Citations

102

Authors

53

Institutions

Publications per year

2017–2026

17

Authors

102

  1. TH
    Thanh H. Nguyen

    University of Southern California, United States

    2 publications · 55 citations

    2

    h-index

  2. MW
    Mason Wright

    University of Michigan, United States

    2 publications · 55 citations

    2

    h-index

  3. MP
    Michael P. Wellman

    University of Michigan, United States

    2 publications · 55 citations

    2

    h-index

  4. ME
    M. E. J. Newman

    University of Michigan, United States

    2 publications · 104 citations

    2

    h-index

  5. IF
    Ian Fischer

    Google (United States), United States

    1 publications · 65 citations

    1

    h-index

1–5 of 102

Venues

  1. Social Networks

    2 publications · 310 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 76 citations

    2

    h-index

  3. The Annals of Applied Statistics

    AOAS · 2 publications · 111 citations

    2

    h-index

  4. 1

    h-index

  5. Nature Physics

    1 publications · 225 citations

    1

    h-index

1–5