ArticlePsychometrika2020
A Latent Space Network Model for Social Influence.
Article in Psychometrika, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling.Medical image analysis · 2025Article
- Advancing the Measurement of Social Functioning in Schizophrenia: Applications of Egocentric Social Network Analysis.Schizophrenia bulletin · 2024Article
- How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence.Psychometrika · 2023Article
- Exploring the entropic nature of political polarization through its formulation as a isolated thermodynamic system.Scientific reports · 2023Article
- Recent Integrations of Latent Variable Network Modeling With Psychometric Models.Frontiers in psychology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social network data represent interactions and relationships among groups of individuals. One aspect of social interaction is social influence, the idea that beliefs or behaviors change as a result of one's social network. The purpose of this article is to introduce a new model for social influence, the latent space model for influence, which employs latent space positions so that individuals are affected most by those who are "closest" to them in the latent space. We describe this model along with some of the contexts in which it can be used and explore the operating characteristics using a series of simulation studies. We conclude with an example of teacher advice-seeking networks to show that changes in beliefs about teaching mathematics may be attributed to network influence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.