Multilevel Network Visualization

Multilevel Network Visualization is a hybrid network representation method that integrates multiple levels of abstraction to simultaneously visualize complex networks at varying granularities, enabling the depiction of both macroscopic structures and microscopic interactions within a unified framework.

8

Publications

191

Citations

38

Authors

25

Institutions

Publications per year

2017–2026

4

Authors

38

  1. LS
    Lifu Song

    Hamburg University of Technology, Germany

    1 publications · 14 citations

    1

    h-index

  2. MO
    Muhammad Owais

    Dongguk University, South Korea

    1 publications · 31 citations

    1

    h-index

  3. ZL
    Zhicheng Liu

    Adobe Systems (United States), United States

    1 publications · 25 citations

    1

    h-index

  4. FX
    Feng Xie

    Chinese Academy of Sciences, China

    1 publications · 14 citations

    1

    h-index

  5. SB
    Shamkant B. Navathe

    Georgia Institute of Technology, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 38

Venues

  1. BMC Bioinformatics

    1 publications · 14 citations

    1

    h-index

  2. Neural Networks

    1 publications · 34 citations

    1

    h-index

  3. BioData Mining

    1 publications · 11 citations

    1

    h-index

  4. Applied Soft Computing

    1 publications · 31 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 40 citations

    1

    h-index

1–5