Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Detección dinámica de comunidades× | Detección de comunidades multicapa× | |
|---|---|---|
| Campo | Análisis de redes | Análisis de redes |
| Familia | Machine learning | Machine learning |
| Año de origen≠ | 2010 (key formalization); earlier work 2002–2009 | 2010–2014 |
| Autor original≠ | Mucha, P. J. et al. (key formalization); earlier work by Girvan & Newman (2002) | Mucha, P. J. et al.; Kivela, M. et al. |
| Tipo≠ | Graph clustering / community discovery | Community detection algorithm for multilayer networks |
| Fuente seminal≠ | Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876–878. DOI ↗ | Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗ |
| Alias | DCD, temporal community detection, evolving community detection, dynamic graph clustering | multilayer clustering, multiplex community detection, cross-layer community detection, MCD |
| Relacionados | 5 | 5 |
| Resumen≠ | Dynamic community detection identifies groups of densely connected nodes in networks that evolve over time, tracking how communities form, merge, split, and dissolve across temporal snapshots. Developed to extend static modularity optimization to time-varying structures, it is widely used in social, biological, and communication network research. | Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss. |
| ScholarGateConjunto de datos ↗ |
|
|