4 papers
Inference for subgraph densities in noisy dynamic networks
Peter W. MacDonald, Eric D. Kolaczyk
In this work we develop statistical methodology to estimate and perform inference on subgraph densities using time-indexed, or dynamic network sequences. These estimates explicitly…
Hierarchical Clustering of Networks via Hierarchical Distance Matrices
Li Chen, Nathaniel Josephs, Eric D. Kolaczyk +1
Clustering populations of networks while recovering their latent hierarchical organization is a fundamental yet largely unexplored problem in network analysis. To formalize this, w…
Isotonic Conformal Prediction
Daniel Bensimon, Sean Xiang Yu, Eric D. Kolaczyk +1
A point prediction that is well calibrated on average can still be systematically biased conditional on its own value, undermining its use in downstream decision-making. We conside…
Minority representation and fairness in network ranking: An application to school contact diary data
Hui Shen, Peter W. MacDonald, Eric D. Kolaczyk
Considerations of bias, fairness and representation are a prerequisite of responsible modern statistics. In statistical network analysis, observed networks are often incomplete or…