Sparse Power-Law Network Model for Reliable Statistical Predictions Based on Sampled Data

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....

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Bibliographic Details
Main Authors: Alexander P. Kartun-Giles, Dmitri Krioukov, James P. Gleeson, Yamir Moreno, Ginestra Bianconi
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Entropy
Subjects:
networks models
projectivity and exchangeability
network entropy
information theory of networks
Online Access:http://www.mdpi.com/1099-4300/20/4/257

Internet

http://www.mdpi.com/1099-4300/20/4/257

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