Ensemble Network Visualization

Ensemble Network Visualization is a visualization framework that integrates multiple network realizations or models to represent structural uncertainty and variability in network data, distinguishing itself from deterministic network visualizations by explicitly encoding probabilistic or alternative topological configurations within a unified visual representation.

2

Publications

57

Citations

9

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

9

  1. LH
    Lihua Hao

    North Carolina State University, United States

    1 publications · 26 citations

    1

    h-index

  2. AH
    Adnan Haider

    Dongguk University, South Korea

    1 publications · 31 citations

    1

    h-index

  3. TM
    Tahir Mahmood

    International Islamic University, Islamabad, Pakistan

    1 publications · 31 citations

    1

    h-index

  4. KR
    Kang Ryoung Park

    Dongguk University, South Korea

    1 publications · 31 citations

    1

    h-index

  5. HS
    Hyo Sik Yoon

    Dongguk University, South Korea

    1 publications · 31 citations

    1

    h-index

1–5 of 9

Venues

  1. Applied Soft Computing

    1 publications · 31 citations

    1

    h-index

1–1