Statistical analysis of binary relational data: Parameter estimation
type: Item
instance of: scholarly article
title: Statistical analysis of binary relational data: Parameter estimation
zbMATH Open document ID: 0584.62198
DOI: 10.1016/0022-2496(85)90003-3
author: Stanley Wasserman
author: Sheila O'Leary Weaver
published in: Journal of Mathematical Psychology
publication date: 1985-01-01T00:00:00Z
review text: Binary interaction data, measuring the presence or absence of a relation between pairs of actors in a ''dyadic interaction situation,'' are commonly gathered to study the social structure of the group of actors. Recent developments have made the statistical analysis of such data statistically easier and more substantively sophisticated. These developments allow researchers to simultaneously study several sociometric structural properties, such as reciprocity, differential popularity, and equivalence of actors. Building on this research, we review the stochastic models responsible for this breakthrough, and discuss methods for estimating expected values and model parameters. Throughout, we also highlight recent advances designed to incorporate nodal or actor attribute data into the relational data analysis. We conclude with an example illustrating these ideas based on conversational activities among actors in a group of eight people.
Mathematics Subject Classification ID: 62P25
zbMATH DE Number: 3936357
zbMATH Keywords: Binary interaction data
zbMATH Keywords: dyadic interaction situation
zbMATH Keywords: social structure
zbMATH Keywords: reciprocity
zbMATH Keywords: differential popularity
zbMATH Keywords: equivalence of actors
zbMATH Keywords: estimating expected values and model parameters
zbMATH Keywords: relational data analysis
describes a project that uses: BMDP
describes a project that uses: IMSL Numerical Libraries
describes a project that uses: SPSS
MaRDI profile type: Publication
full work available at URL: 0022-2496(85)90003-3
OpenAlex ID: W2030612092
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description: scientific article; zbMATH DE number 3936357