Identifying bias in network clustering quality metrics

We study potential biases of popular network clustering quality metrics, such as those based on the dichotomy between internal and external connectivity. We propose a method that uses both stochastic and preferential attachment block models construction to generate networks with preset community str...

Descripción completa

Detalles Bibliográficos
Autores principales: Renedo-Mirambell, Martí, Arratia, Argimiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495975/
https://www.ncbi.nlm.nih.gov/pubmed/37705625
http://dx.doi.org/10.7717/peerj-cs.1523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495975/
https://www.ncbi.nlm.nih.gov/pubmed/37705625
http://dx.doi.org/10.7717/peerj-cs.1523

Ejemplares similares