Bootstrap quantification of estimation uncertainties in network degree distributions

Abstract We propose a new method of nonparametric bootstrap to quantify estimation uncertainties in functions of network degree distribution in large ultra sparse networks. Both network degree distribution and network order are assumed to be unknown. The key idea is based on adaptation of the “block...

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Bibliographic Details
Main Authors: Yulia R. Gel, Vyacheslav Lyubchich, L. Leticia Ramirez Ramirez
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05885-x