Network Evolution Visualization

Network Evolution Visualization is a type of temporal information visualization that specifically represents the structural changes and dynamic development of semantic networks over time by encoding the emergence, disappearance, and transformation of nodes, edges, and their attributes within a spatiotemporal framework.

43

Publications

2.3K

Citations

150

Authors

90

Institutions

Publications per year

2017–2026

11

Authors

150

  1. MT
    Matthias Trier

    Copenhagen Business School, Denmark

    2 publications · 102 citations

    2

    h-index

  2. YW
    Yanhong Wu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 155 citations

    2

    h-index

  3. SG
    Scott Gigante

    Yale University, United States

    2 publications · 22 citations

    2

    h-index

  4. GM
    Gal Mishne

    University of California San Diego, United States

    2 publications · 22 citations

    2

    h-index

  5. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 137 citations

    2

    h-index

1–5 of 150

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 518 citations

    6

    h-index

  2. Information Visualization

    3 publications · 186 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 22 citations

    2

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Methodological Innovations

    1 publications · 22 citations

    1

    h-index

1–5