A note on testing conditional independence for social network analysis

DOI10.1007/s11425-015-4998-0zbMath1327.62513OpenAlexW3125756278MaRDI QIDQ889804

Rui Pan, Hansheng Wang

Publication date: 9 November 2015

Published in: Science China. Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-015-4998-0

zbMATH Keywords

transitivityreciprocityconditional independencecentralitysocial network analysislogistic regression model

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Social networks; opinion dynamics (91D30) Applications of statistics to social sciences (62P25) Generalized linear models (logistic models) (62J12)

Cites Work

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• Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\)
• Goodness of Fit of Social Network Models
• Markov Graphs
• An Exponential Family of Probability Distributions for Directed Graphs
• Estimation and Prediction for Stochastic Blockstructures
• Latent Space Approaches to Social Network Analysis
• Stochastic Blockmodels for Directed Graphs

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