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A Latent Space Network Model for Social Influence

Author

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  • Tracy Sweet

    (University of Maryland)

  • Samrachana Adhikari

    (New York University School of Medicine)

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.

Suggested Citation

  • Tracy Sweet & Samrachana Adhikari, 2020. "A Latent Space Network Model for Social Influence," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 251-274, June.
    • Handle: RePEc:spr:psycho:v:85:y:2020:i:2:d:10.1007_s11336-020-09700-x
    DOI: 10.1007/s11336-020-09700-x
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    References listed on IDEAS

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    Cited by:

    1. Jina Park & Ick Hoon Jin & Minjeong Jeon, 2023. "How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1529-1555, December.
    2. Selena Wang & Subhadeep Paul & Paul Boeck, 2023. "Joint Latent Space Model for Social Networks with Multivariate Attributes," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1197-1227, December.

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