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Lin Liu

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#machine learning Preprint Oct 2026

Peer Effects in Signed Networks: Separating Influence Through Positive and Negative Ties

Evaluating network interventions requires understanding how treatment affects people through their social relationships. Counting treated neighbors without distinguishing supportive and antagonistic ties can conceal opposing influences. We define effects through positive and negative ties, their interaction, and a sign...

Xiao-Jing Du, Jiu-Yong Li, Lin Liu et al. · 0 citations
Preprint Aug 2026

Transportable Causal Effect Estimation across Networks under Interference

TranCE (Transported Causal Effects), a doubly-robust algorithm combining an interventional outcome model, a domain density-ratio correction, and cross-fitted inference, is presented, which has the potential to improve intervention strategies in networked systems, particularly in social networks and public health.

Xiao-Jing Du, Jiu-Yong Li, Lin Liu et al. · 0 citations

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