activity
20152019
most citedA Review of Stochastic Block Models and Extensions for Graph Clustering

231 citations · 253 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2019★ 231 cited

A Review of Stochastic Block Models and Extensions for Graph Clustering

Clement Lee, Darren J Wilkinson

There have been rapid developments in model-based clustering of graphs, also known as block modelling, over the last ten years or so. We review different approaches and extensions…

stat.AP2018★ 2 cited

A Social Network Analysis of Articles on Social Network Analysis

Clement Lee, Darren J Wilkinson

A collection of articles on the statistical modelling and inference of social networks is analysed in a network fashion. The references of these articles are used to construct a ci…

stat.AP2018★ 18 cited

A hierarchical model of non-homogeneous Poisson processes for Twitter retweets

Clement Lee, Darren J Wilkinson

We present a hierarchical model of non-homogeneous Poisson processes (NHPP) for information diffusion on online social media, in particular Twitter retweets. The retweets of each o…

stat.CO2017★ 2 cited

A Network Epidemic Model for Online Community Commissioning Data

Clement Lee, Andrew Garbett, Darren J. Wilkinson

A statistical model assuming a preferential attachment network, which is generated by adding nodes sequentially according to a few simple rules, usually describes real-life network…

stat.CO2015

Optimal scaling of the independence sampler: Theory and Practice

Peter Neal, Clement Lee

The independence sampler is one of the most commonly used MCMC algorithms usually as a component of a Metropolis-within-Gibbs algorithm. The common focus for the independence sampl…