Cargando…
Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data
A projective network model is a model that enables predictions to be made based on a subsample of the network data, with the predictions remaining unchanged if a larger sample is taken into consideration. An exchangeable model is a model that does not depend on the order in which nodes are sampled....
Autores principales: | Kartun-Giles, Alexander P., Krioukov, Dmitri, Gleeson, James P., Moreno, Yamir, Bianconi, Ginestra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512772/ https://www.ncbi.nlm.nih.gov/pubmed/33265348 http://dx.doi.org/10.3390/e20040257 |
Ejemplares similares
-
Grand Canonical Ensembles of Sparse Networks and Bayesian Inference
por: Bianconi, Ginestra
Publicado: (2022) -
Emergence of Soft Communities from Geometric Preferential Attachment
por: Zuev, Konstantin, et al.
Publicado: (2015) -
An Introduction to Complex Networks in Climate Finance
por: Kartun-Giles, Alexander P., et al.
Publicado: (2023) -
Multilayer networks: structure and function
por: Bianconi, Ginestra
Publicado: (2018) -
Emergent Hyperbolic Network Geometry
por: Bianconi, Ginestra, et al.
Publicado: (2017)