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Likelihood-based approach to discriminate mixtures of network models that vary in time
Discriminating between competing explanatory models as to which is more likely responsible for the growth of a network is a problem of fundamental importance for network science. The rules governing this growth are attributed to mechanisms such as preferential attachment and triangle closure, with a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933268/ https://www.ncbi.nlm.nih.gov/pubmed/33664321 http://dx.doi.org/10.1038/s41598-021-84085-0 |