arXiv Open Access 2024

Beyond One Solution: The Case for a Comprehensive Exploration of Solution Space in Community Detection

Fabio Morea Domenico De Stefano

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This article explores the importance of examining the solution space in community detection, highlighting its role in achieving reliable results when dealing with real-world problems. A Bayesian framework is used to estimate the stability of the solution space and classify it into categories Single, Dominant, Multiple, Sparse or Empty. By applying this approach to real-world networks, the study highlights the importance of considering multiple solutions rather than relying on a single partition. This ensures more reliable results and efficient use of computational resources in community detection analysis.

Topik & Kata Kunci

cs.SI

Penulis (2)

Fabio Morea

Domenico De Stefano

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Morea, F., Stefano, D.D. (2024). Beyond One Solution: The Case for a Comprehensive Exploration of Solution Space in Community Detection. https://arxiv.org/abs/2410.19495

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Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓