Quantifying the Effects of Topology and Weight for Link Prediction in Weighted Complex Networks

In weighted networks, both link weight and topological structure are significant characteristics for link prediction. In this study, a general framework combining null models is proposed to quantify the impact of the topology, weight correlation and statistics on link prediction in weighted networks...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Bo, Xu, Shuang, Li, Ting, Xiao, Jing, Xu, Xiao-Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512883/
https://www.ncbi.nlm.nih.gov/pubmed/33265453
http://dx.doi.org/10.3390/e20050363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512883/
https://www.ncbi.nlm.nih.gov/pubmed/33265453
http://dx.doi.org/10.3390/e20050363

Ejemplares similares