A practical guide to measuring social structure using indirectly observed network data

DOI10.1080/15598608.2013.756360zbMath1425.62147OpenAlexW2010929514WikidataQ61826426 ScholiaQ61826426MaRDI QIDQ2320818

Johannes Ruf, Amal Moussa, Julien Teitler, Tian Zheng, Thomas A. DiPrete, Tyler H. McCormick, Andrew Gelman

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2013.756360

zbMATH Keywords

hierarchical modelsocial networksample surveyopinion formationsampling biasaggregated relational dataoverdispersed Poisson distribution

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Applications of statistics to social sciences (62P25)

Uses Software

• R
• MASS (R)

Cites Work

• Statistical Analysis of Financial Data in S-Plus
• The Structure and Function of Complex Networks
• How Many People Do You Know?: Efficiently Estimating Personal Network Size
• How Many People Do You Know in Prison?
• The elements of statistical learning. Data mining, inference, and prediction

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