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arXiv · 2506.05486

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+$o^2$)

Jordan Barrett·Ryan DeWolfe·Bogumił Kamiński·Paweł Prałat·Aaron Smith·François Théberge
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Abstract

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 model generates graphs similar to the well-known LFR model but it is faster, more interpretable, and can be investigated analytically. In this paper, we use the underlying ingredients of the ABCD model, and its generalization to include outliers (ABCD+$o$), and introduce another variant that allows for overlapping communities, ABCD+$o^2$.

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Jordan Barrett, Ryan DeWolfe, Bogumił Kamiński, Paweł Prałat, Aaron Smith, François Théberge. 2025-06-05. The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+$o^2$). https://arxiv.org/abs/2506.05486

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