Descriptive vs. inferential community detection in networks pitfalls, myths and half-truths
Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This area deals with the automated division of a network into fundamental building blocks, with the objective of providing a...
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| Format: | eBook |
| Language: | Inglés |
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Cambridge :
Cambridge University Press
2023.
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| Edition: | 1st ed |
| Series: | Cambridge elements. Elements in the structure and dynamics of complex networks,
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009769416906719 |
Table of Contents:
- 1. Introduction; 2. Descriptive vs. inferential community detection; 3. Modularity maximization considered harmful; 4. Myths, pitfalls, and half-truths; 5. Conclusion; References.
