activity
20232026
most citedImproving community detection via community association strength scores

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

math.CO2026

Achievable Burning Densities of Growing Grids

Jordan Barrett, Karen Gunderson, JD Nir +1

Graph burning is a discrete-time process on graphs where vertices are sequentially activated and burning vertices cause their neighbours to burn over time. In this work, we focus o…

cs.SI2025

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+)

Jordan Barrett, Ryan DeWolfe, Bogumił Kamiński +3

The Artificial Benchmark for Community Detection (ABCD) graph is a random graph model with community structure and power-law distribution for both degrees and community sizes. The…

cs.SI2025★ 1 cited

Improving community detection via community association strength scores

Jordan Barrett, Ryan DeWolfe, Bogumił Kamiński +3

Community detection methods play a central role in understanding complex networks by revealing highly connected subsets of entities. However, most community detection algorithms ge…

cs.SI2024

Counting simplicial pairs in hypergraphs

Jordan Barrett, Paweł Prałat, Aaron Smith +1

We present two ways to measure the simplicial nature of a hypergraph: the simplicial ratio and the simplicial matrix. We show that the simplicial ratio captures the frequency, as w…

cs.SI2023★ 1 cited

Self-similarity of Communities of the ABCD Model

Jordan Barrett, Bogumil Kaminski, Pawel Pralat +1

The Artificial Benchmark for Community Detection (ABCD) graph is a random graph model with community structure and power-law distribution for both degrees and community sizes. The…