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Related Experiment Video

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Conditions Affecting Social Space in Drosophila melanogaster
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A Latent Space Network Model for Social Influence.

Tracy Sweet1, Samrachana Adhikari2

  • 1Department of Human Development and Quantitative Methodology, University of Maryland, College Park, USA. tsweet@umd.edu.

Psychometrika
|March 30, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new latent space model for social influence, showing how network proximity affects belief changes. The model demonstrates that individuals are most influenced by those closest to them in the latent space.

Keywords:
Bayesianlatent space modelsnetwork modelssocial influencesocial networks

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Area of Science:

  • Social network analysis
  • Sociology
  • Computational social science

Background:

  • Social influence is a key aspect of social interaction, where beliefs and behaviors are shaped by social networks.
  • Existing models may not fully capture the nuanced effects of network structure on individual change.

Purpose of the Study:

  • Introduce a novel latent space model for social influence.
  • Provide a framework to understand how network proximity influences individual beliefs and behaviors.

Main Methods:

  • Developed a latent space model for influence.
  • Utilized simulation studies to explore model operating characteristics.
  • Applied the model to teacher advice-seeking networks.

Main Results:

  • The latent space model demonstrates that individuals are most influenced by others who are 'closest' within the latent space.
  • Simulation studies validated the model's ability to capture network influence dynamics.
  • Analysis of teacher networks showed belief changes attributed to network influence.

Conclusions:

  • The latent space model offers a powerful tool for analyzing social influence in networks.
  • Network proximity is a significant factor in social influence and belief formation.
  • The model has practical applications in understanding and predicting behavioral changes within social systems.