50 citations · 54 across the 4 of their papers we have counts for
4 papers
Reducing Seed Bias in Respondent-Driven Sampling by Estimating Block Transition Probabilities
Yilin Zhang, Karl Rohe, Sebastien Roch
Respondent-driven sampling (RDS) is a popular approach to study marginalized or hard-to-reach populations. It collects samples from a networked population by incentivizing particip…
Understanding Regularized Spectral Clustering via Graph Conductance
Yilin Zhang, Karl Rohe
This paper uses the relationship between graph conductance and spectral clustering to study (i) the failures of spectral clustering and (ii) the benefits of regularization. The exp…
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu +3
Many studies in biomedical and health sciences involve small sample sizes due to logistic or financial constraints. Often, identifying weak (but scientifically interesting) associa…
Discovering Political Topics in Facebook Discussion threads with Graph Contextualization
Yilin Zhang, Marie Poux-Berthe, Chris Wells +2
We propose a graph contextualization method, pairGraphText, to study political engagement on Facebook during the 2012 French presidential election. It is a spectral algorithm that…