Beyond One Solution: The Case for a Comprehensive Exploration of Solution Space in Community Detection
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911383187095552 |
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| author | Morea, Fabio De Stefano, Domenico |
| author_facet | Morea, Fabio De Stefano, Domenico |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_19495 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Beyond One Solution: The Case for a Comprehensive Exploration of Solution Space in Community Detection Morea, Fabio De Stefano, Domenico Social and Information Networks 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. |
| title | Beyond One Solution: The Case for a Comprehensive Exploration of Solution Space in Community Detection |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2410.19495 |