A Liang-Zeger Method for Modeling Dyadic Interdependence in the Analysis of Social Networks

This article introduces a modified Liang-Zeger method for the estimation of the variance-covariance matrix of parameter estimates for models of social network data that include variables to characterize dyadic nonindependence. While the pseudolikelihood method has been used recently to estimate parameters for such models, the issue of estimating their standard errors, or the variance-covariance matrix more generally, has been neglected. This article addresses the issue by proposing a method for such estimation and also presents an illustrative application of the method to empirical social network data

Covariance · Covariance matrix · Econometrics · Economics · Estimation · Statistics · Variance (accounting · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Spatial and Panel Data Analysis

• A Tale of Twin Dependence

  Open Access•Weihua An•Sociological Methods & Research•2023

  Incluir item

• Exponential Family Models for Sampled and Census Network Data

  Open Access•Laura M Koehly, Steven M Goodreau et al.•Sociological Methodology•2004

  Incluir item

• Social Network Analysis

  Open Access•Stanley Wasserman, Katherine Faust•Social Network Analysis•1994

  Incluir item

• Consistent Estimates Based on Partially Consistent Observations

  Jerzy Neyman, Elizabeth L Scott•Econometrica•1948

  Incluir item

• Pseudolikelihood Estimation for Social Networks

  David Strauss, Michael Ikeda•Journal of the American…•1990

  Incluir item

• An Exponential Family of Probability Distributions for Directed Graphs

  P W Holland, Samuel Leinhardt•Journal of the American…•1981

  Incluir item

• Markov Graphs

  Ove Frank, David Strauss•Journal of the American…•1986

  Incluir item

• Logit models and logistic regressions for social networks

  Open Access•P Pattison, Stanley Wasserman•British Journal of Mathematical…•1999

  Incluir item

• Logit Models and Logistic Regressions for Social Networks

  Open Access•Stanley Wasserman, P Pattison•Psychometrika•1996

  Incluir item

• Longitudinal data analysis using generalized linear models

  Kung-Yee Liang, Kung‐Yee Liang et al.•Biometrika•1986

  Incluir item

• Cognitive social structures

  Open Access•D Krackhardt•Social Networks•1987

  Incluir item

• Stochastic a posteriori blockmodels

  Open Access•Stanley Wasserman, Carolyn J Anderson et al.•Social Networks•1987

  Incluir item

• Some generalizations of p1

  Open Access•Stanley Wasserman, J Galaskiewicz•Social Networks•1984

  Incluir item

• Bonds of Pluralism

  Herbert Collins, Edward O Laumann•Contemporary Sociology A Journal…•1974

  Incluir item

• Categorical Data Analysis of Single Sociometric Relations

  Stephen E Fienberg, Stanley Wasserman et al.•Sociological Methodology•1981

  Incluir item

• Alternative Approaches to Unobserved Heterogeneity in the Analysis of Repeatable Events

  Kazuo Yamaguchi•Sociological Methodology•1986

  Incluir item

• Logit Models for Affiliation Networks

  Open Access•J Skvoretz, Katherine Faust•Sociological Methodology•1999

  Incluir item

• Model Estimation when Observations are not Independent

  Open Access•Barry V Bye, Gerald F Riley•Sociological Methods & Research•1989

  Incluir item

• Subjective Social Distance, Occupational Stratification, and Forms of Status and Class Consciousness

  Edward O Laumann, Richard Senter•American Journal of Sociology•1976

  Incluir item