Robust network scale-up method estimators

doi:10.1016/j.socnet.2025.08.002

Robust network scale-up method estimators

2025-08-26

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Antonio Fernández Anta

DOI：10.1016/j.socnet.2025.08.002

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Abstract

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• 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

Robust network scale-up method estimators

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