Scaling bias in pooled exponential random graph models-Reference-Cited by-同舟云学术

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Scaling bias in pooled exponential random graph models

Published:2023-07 Issue: Volume:74 Page:19-30
ISSN:0378-8733
Container-title:Social Networks
language:en
Short-container-title:Social Networks

Author:

Duxbury Scott W.,Wertsching Jenna

Funder

National Institute on Aging

University of North Carolina Wilmington

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

Elsevier BV

Subject

General Psychology,General Social Sciences,Sociology and Political Science,Anthropology

Reference42 articles.

1. Network formation in organizational settings: exploring the importance of local social processes and team-level contextual variables in small groups using Bayesian hierarchical ERGMs;Agneessens;Soc. Netw.,2022

2. Introducing a disturbance into logit and probit regression models;Allison;Sociol. Methods Res.,1987

3. Comparing logit and probit coefficients across groups;Allison;Sociol. Methods Res.,1999

4. Multilevel meta network analysis with application to studying network dynamics of network interventions;An;Soc. Netw.,2015

5. You said, they said: a framework on informant accuracy with application to studying self-reports and peer-reports;An;Soc. Netw.,2022

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1. The influence factors of innovation networking formation based on ERGM: Evidence from the smart medical industry;Journal of Digital Economy;2023-12

2. Power and Multicollinearity in Small Networks: A Discussion of “Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Krivitsky, Coletti, and Hens;Journal of the American Statistical Association;2023-10-02

3. School Transitions, Peer Processes, and Delinquency: A Social Network Approach to Turning Points in Adolescence;Journal of Research in Crime and Delinquency;2023-04-20

4. ergMargins: Process Analysis for Exponential Random Graph Models;CRAN: Contributed Packages;2019-07-26

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