234 citations · 1.2k across the 33 of their papers we have counts for
7 papers · 1 filter
Tractably Modelling Dependence in Networks Beyond Exchangeability
Weichi Wu, Sofia Olhede, Patrick Wolfe
We propose a general framework for modelling network data that is designed to describe aspects of non-exchangeable networks. Conditional on latent (unobserved) variables, the edges…
Network modularity in the presence of covariates
Beate Franke, Patrick J. Wolfe
We characterize the large-sample properties of network modularity in the presence of covariates, under a natural and flexible nonparametric null model. This provides for the first…
Nonparametric graphon estimation
Patrick J. Wolfe, Sofia C. Olhede
We propose a nonparametric framework for the analysis of networks, based on a natural limit object termed a graphon. We prove consistency of graphon estimation under general condit…
Co-clustering separately exchangeable network data
David Choi, Patrick J. Wolfe
This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data…
Degree-based network models
Sofia C. Olhede, Patrick J. Wolfe
We derive the sampling properties of random networks based on weights whose pairwise products parameterize independent Bernoulli trials. This enables an understanding of many degre…
Null models for network data
Patrick O. Perry, Patrick J. Wolfe
The analysis of datasets taking the form of simple, undirected graphs continues to gain in importance across a variety of disciplines. Two choices of null model, the logistic-linea…