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Robust network scale-up method estimators

delete2025-08-26
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PRE
AI
S
Sergio Díaz-Aranda *
J
Juan Marcos Ramírez
S
Shenming Fu
R
Rosa E. Lillo
A
Antonio Fernández Anta
DOI:10.1016/j.socnet.2025.08.002delete
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Abstract

Abstract

En 中文
• We propose robust versions of the classical NSUM using location estimators. • Robust NSUM analysis in simulations of social networks and contamination scenarios. • The NSUM estimators are evaluated on datasets of COVID-19 and voting intentions.
Keywords:
Network scale-up method
Aggregated relational data
Robust estimators
Adaptive procedures
M-estimators

Journal

Social Networks cover
Social Networks
IF:
2.4
Papers:
126
Citations:
6.8K

Organization

U
uc3m-santander big data institute
Scholars:
2
Papers: 2
Citations: 0
I
imdea software institute
Scholars:
63
Papers: 45
Citations: 0
I
IMDEA Networks Institute
Scholars:
181
Papers: 205
Citations: 0
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Cited Papers

Cited Papers

A Sample Size Formula for Network Scale-up Studies
err2022-09-13
err0
PREAI
errJosephs, Nathaniel; Feehan, Dennis M.; Crawford, Forrest W.
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Estimating abortion incidence using the network scale-up method
err2020-12-16
err0
errOAAI
errElizabeth Sully; Margaret Giorgio; Selena Anjur-Dietrich
errShare
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Estimating population size using the network scale up method
err2015-09-01
err0
errOAAI
errRachael Maltiel; Adrian E. Raftery; Tyler H. McCormick; Aaron J. Baraff
errShare
errSave
Generalizing the Network Scale-up Method
err2016-09-20
err0
errOAAI
errDennis M. Feehan; Matthew J. Salganik
errShare
errSave
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