A Note on the Identifiability of the Degree-Corrected Stochastic Block Model
Fuente:
arXiv
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912367010381824 |
|---|---|
| author | Park, John Zhao, Yunpeng Hao, Ning |
| author_facet | Park, John Zhao, Yunpeng Hao, Ning |
| contents | In this short note, we address the identifiability issues inherent in the Degree-Corrected Stochastic Block Model (DCSBM). We provide a rigorous proof demonstrating that the parameters of the DCSBM are identifiable up to a scaling factor and a permutation of the community labels, under a mild condition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_03833 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Note on the Identifiability of the Degree-Corrected Stochastic Block Model Park, John Zhao, Yunpeng Hao, Ning Methodology In this short note, we address the identifiability issues inherent in the Degree-Corrected Stochastic Block Model (DCSBM). We provide a rigorous proof demonstrating that the parameters of the DCSBM are identifiable up to a scaling factor and a permutation of the community labels, under a mild condition. |
| title | A Note on the Identifiability of the Degree-Corrected Stochastic Block Model |
| topic | Methodology |
| url | https://arxiv.org/abs/2412.03833 |