Interactive Network Exploration

Interactive Network Exploration is a hybrid network representation method that enables dynamic, user-driven navigation and analysis of semantic and spatial network structures through real-time interaction techniques, distinguishing itself from static or automated exploration approaches by prioritizing human-in-the-loop discovery and contextual insight generation.

22

Publications

849

Citations

126

Authors

65

Institutions

Publications per year

2017–2026

5

Authors

126

  1. MW
    Michael Wybrow

    Monash University, Australia

    2 publications · 110 citations

    2

    h-index

  2. KM
    Kim Marriott

    Monash University, Australia

    2 publications · 110 citations

    2

    h-index

  3. AK
    Aaron K. Wong

    Princeton University, United States

    1 publications · 98 citations

    1

    h-index

  4. CV
    Christiane V. R. Hütter

    University of Vienna, Austria

    1 publications · 59 citations

    1

    h-index

  5. CÖ
    Christina Öberg

    Örebro University, Sweden

    1 publications · 24 citations

    1

    h-index

1–5 of 126

Venues

  1. Nucleic Acids Research

    4 publications · 302 citations

    4

    h-index

  2. BMC Bioinformatics

    2 publications · 91 citations

    2

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 87 citations

    2

    h-index

  4. BMC Genomics

    1 publications · 12 citations

    1

    h-index

  5. Nature Communications

    1 publications · 59 citations

    1

    h-index

1–5