Bayesian computational algorithms for social network analysis

In this chapter we review some of the most recent computational advances in the rapidly expanding field of statistical social network analysis using the R open-source software. In particular we will focus on Bayesian estimation for two important families of models: exponential random graph models (E...

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Bibliographic Details
Main Authors Caimo, Alberto, Gollini, Isabella
Format Journal Article
LanguageEnglish
Published 13.04.2015
Subjects
Statistics - Computation
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Summary:In this chapter we review some of the most recent computational advances in the rapidly expanding field of statistical social network analysis using the R open-source software. In particular we will focus on Bayesian estimation for two important families of models: exponential random graph models (ERGMs) and latent space models (LSMs).
DOI:10.48550/arxiv.1504.03152