2 papers
stat.ME2024
Stochastic gradient descent-based inference for dynamic network models with attractors
Hancong Pan, Xiaojing Zhu, Cantay Caliskan +4
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 a…
stat.AP2021
Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model
Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson +3
We develop a broadly applicable class of coevolving latent space network with attractors (CLSNA) models, where nodes represent individual social actors assumed to lie in an unknown…