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...

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Detalles Bibliográficos
Autores principales: Bellingeri, M., Bevacqua, D., Scotognella, F., Cassi, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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

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