Cargando…
The heterogeneity in link weights may decrease the robustness of real-world complex weighted networks
Here we report a comprehensive analysis of the robustness of seven high-quality real-world complex weighted networks to errors and attacks toward nodes and links. We use measures of the network damage conceived for a binary (e.g. largest connected cluster LCC, and binary efficiency Eff(bin)) or a we...
Autores principales: | Bellingeri, M., Bevacqua, D., Scotognella, F., Cassi, D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650436/ https://www.ncbi.nlm.nih.gov/pubmed/31337834 http://dx.doi.org/10.1038/s41598-019-47119-2 |
Ejemplares similares
-
A comparative analysis of link removal strategies in real complex weighted networks
por: Bellingeri, M., et al.
Publicado: (2020) -
A comparison of node vaccination strategies to halt SIR epidemic spreading in real-world complex networks
por: Sartori, F., et al.
Publicado: (2022) -
Quantifying the Effects of Topology and Weight for Link Prediction in Weighted Complex Networks
por: Liu, Bo, et al.
Publicado: (2018) -
The geometric nature of weights in real complex networks
por: Allard, Antoine, et al.
Publicado: (2017) -
Robustness and Complexity of Directed and Weighted Metabolic Hypergraphs
por: Traversa, Pietro, et al.
Publicado: (2023)