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arXiv · 2301.05749

Artificial Benchmark for Community Detection with Outliers (ABCD+o)

Bogumił Kamiński·Paweł Prałat·François Théberge
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Abstract

The Artificial Benchmark for Community Detection graph (ABCD) is a random graph model with community structure and power-law distribution for both degrees and community sizes. The model generates graphs with similar properties as the well-known LFR one, and its main parameter $\xi$ can be tuned to mimic its counterpart in the LFR model, the mixing parameter $\mu$. In this paper, we extend the ABCD model to include potential outliers. We perform some exploratory experiments on both the new ABCD+o model as well as a real-world network to show that outliers possess some desired, distinguishable properties.

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Bogumił Kamiński, Paweł Prałat, François Théberge. 2023-01-13. Artificial Benchmark for Community Detection with Outliers (ABCD+o). https://doi.org/10.1007/s41109-023-00552-9

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