Network models for social influence processes

DOI10.1007/BF02294834zbMath1293.62270MaRDI QIDQ2511833

Garry Robins, Philippa E. Pattison, Peter D. T. A. Elliott

Publication date: 6 August 2014

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

social networksgraphical modelssocial influenceattitudes\(p^*\) modelsnetwork effects models

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Applications of statistics to social sciences (62P25)

Related Items (13)

An option-theoretic model of a reputation network ⋮ Network-based naive Bayes model for social network ⋮ A Novel Simulation Method for Binary Discrete Exponential Families, With Application to Social Networks ⋮ A tutorial on methods for the modeling and analysis of social network data ⋮ How social networks influence human behavior: an integrated latent space approach for differential social influence ⋮ Local Structural Properties and Attribute Characteristics in 2-mode Networks: p∗ Models to Map Choices of Theater Events¹ ⋮ A latent space network model for social influence ⋮ Analysing exponential random graph (p-star) models with missing data using Bayesian data augmentation ⋮ Network models for social influence processes ⋮ Joint Latent Space Model for Social Networks with Multivariate Attributes ⋮ Clusterwise p^* models for social network analysis ⋮ Outliers and influential observations in exponential random graph models ⋮ Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks

Uses Software

• MIM

Cites Work

• Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\)
• Friendship networks through time: An actor-oriented dynamic statistical network model
• Logit models and logistic regressions for social networks. III: Valued relations
• Network models for social influence processes
• Social influence and opinions
• Markov Graphs
• An Exponential Family of Probability Distributions for Directed Graphs
• Generalized Monte Carlo significance tests
• A Survey of Methods for Analyzing Clustered Binary Response Data
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