Network cartographs for interpretable visualizations.
Nat Comput Sci
; 2(2): 84-89, 2022 Feb.
Article
em En
| MEDLINE
| ID: mdl-38177513
ABSTRACT
Networks offer an intuitive visual representation of complex systems. Important network characteristics can often be recognized by eye and, in turn, patterns that stand out visually often have a meaningful interpretation. In conventional network layout algorithms, however, the precise determinants of a node's position within a layout are difficult to decipher and to control. Here we propose an approach for directly encoding arbitrary structural or functional network characteristics into node positions. We introduce a series of two- and three-dimensional layouts, benchmark their efficiency for model networks, and demonstrate their power for elucidating structure-to-function relationships in large-scale biological networks.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Nat Comput Sci
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Áustria