1 citations · 1 across the 5 of their papers we have counts for
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Community Detection with the Canonical Ensemble
Rudy Arthur
Network community detection is usually considered as an unsupervised learning problem. Given a network, the aim is to partition it using some general purpose algorithm. In this pap…
Measuring ESG Risk in Supply Networks
Rudy Arthur, Guillherme Machado
Environmental, Social and Governance (ESG) rating is a way for investors to prioritise investments in companies with good corporate behaviour. However, ESG ratings are vulnerable t…
Exploring Network Structure with the Density of States
Rudy Arthur
Community detection, as well as the identification of other structures like core periphery and disassortative patterns, is an important topic in network analysis. While most method…
Constraints on Meso-Scale Structure in Complex Networks
Rudy Arthur
A key topic in network science is the detection of intermediate or meso-scale structures. Community, core-periphery, disassortative and other partitions allow us to understand the…
Correlation and Autocorrelation of Data on Complex Networks
Rudy Arthur
Networks where each node has one or more associated numerical values are common in applications. This work studies how summary statistics used for the analysis of spatial data can…