How social networks influence human behavior: an integrated latent space approach for differential social influence
From MaRDI portal
Publication:6198879
DOI10.1007/s11336-023-09934-5arXiv2109.05200MaRDI QIDQ6198879
Ick Hoon Jin, Minjeong Jeon, Jina Park
Publication date: 21 March 2024
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.05200
network analysislatent space modelitem response modelpeer networkdifferential social influencelatent space item response model
Cites Work
- Unnamed Item
- Unnamed Item
- Latent Space Modeling of Multidimensional Networks with Application to the Exchange of Votes in Eurovision Song Contest
- Minimax rates of community detection in stochastic block models
- Spectral clustering and the high-dimensional stochastic blockmodel
- Generalized Procrustes analysis
- Latent space models for multiview network data
- Inference from iterative simulation using multiple sequences
- Mapping unobserved item-respondent interactions: a latent space item response model with interaction map
- A latent space network model for social influence
- Consistency of spectral clustering in stochastic block models
- Network models for social influence processes
- Identification of Endogenous Social Effects: The Reflection Problem
- Goodness of Fit of Social Network Models
- Markov Graphs
- An Exponential Family of Probability Distributions for Directed Graphs
- Estimation Methods for Models of Spatial Interaction
- Latent Space Approaches to Social Network Analysis
- Community Detection and Stochastic Block Models
- Random Networks, Graphical Models and Exchangeability
- Examining the effect of social influence on student performance through network autocorrelation models
- Testing and Modeling Dependencies Between a Network and Nodal Attributes
- Latent Space Models for Dynamic Networks
This page was built for publication: How social networks influence human behavior: an integrated latent space approach for differential social influence
