Concepedia

Bipartite Community Visualization

Bipartite Community Visualization is a visualization method designed to represent community structures in bipartite networks by explicitly distinguishing the two disjoint sets of nodes and their interdependent relationships, thereby enabling the analysis of modular patterns unique to bipartite graph topologies.

1

Publications

10

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–1 of 1

Authors

4

  1. IR
    Ivan Rychlı́k

    Veterinary Research Institute, Czechia

    1 publications · 10 citations

    1

    h-index

  2. HŠ
    Helena Škutková

    Brno University of Technology, Czechia

    1 publications · 10 citations

    1

    h-index

  3. KS
    Karel Sedlář

    Brno University of Technology, Czechia

    1 publications · 10 citations

    1

    h-index

  4. IP
    Ivo Provazník

    Brno University of Technology, Czechia

    1 publications · 10 citations

    1

    h-index

1–4 of 4

Institutions

3

  1. Brno University of Technology

    Brno, Czechia

    1 h-index

    3 publications

    30 citations

  2. RECETOX

    Brno, Czechia

    1 h-index

    1 publications

    10 citations

  3. Veterinary Research Institute

    Brno, Czechia

    1 h-index

    1 publications

    10 citations

1–3 of 3

Venues

  1. Evolutionary Bioinformatics

    EBO · 1 publications · 10 citations

    1

    h-index

1–1