Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors

Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors

<p>In Coevolving Latent Space Networks with Attractors (CLSNA) models, nodes in a latent space represent social actors, and edges indicate their dynamic interactions. Attractors are added at the latent level to capture the notion of attractive and repulsive forces between nodes, borrowing from...

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Bibliographic Details
Main Author: Hancong Pan (20513174) (author)
Other Authors: Xiaojing Zhu (6237089) (author), Cantay Caliskan (20513177) (author), Dino P. Christenson (5769041) (author), Konstantinos Spiliopoulos (20513180) (author), Dylan Walker (20513183) (author), Eric D. Kolaczyk (8953349) (author)
Published: 2025
Subjects:
Ecology
Computational Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Attractors
Co-evolving network model
Dynamic networks analysis
Longitudinal social networks
Partisan polarization
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