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