Comparar métodos

	Análisis de Difusión en Redes Multicapa	Detección de comunidades multicapa
Campo	Análisis de redes	Análisis de redes
Familia	Machine learning	Machine learning
Año de origen	2013–2014	2010–2014
Autor original	Gomez, S. et al.; Boccaletti, S. et al.	Mucha, P. J. et al.; Kivela, M. et al.
Tipo	Network diffusion model	Community detection algorithm for multilayer networks
Fuente seminal	Gomez, S., Diaz-Guilera, A., Gomez-Gardenes, J., Perez-Vicente, C. J., Moreno, Y., & Arenas, A. (2013). Diffusion dynamics on multiplex networks. Physical Review Letters, 110(2), 028701.	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.
Alias	multiplex diffusion analysis, multilayer spreading analysis, cross-layer contagion analysis, diffusion on multiplex networks	multilayer clustering, multiplex community detection, cross-layer community detection, MCD
Relacionados	6	5
Resumen	Multilayer Network Diffusion Analysis models how information, disease, or influence spreads across a system composed of multiple, interconnected network layers. By coupling diffusion processes across layers — for instance social ties, transport routes, and online channels simultaneously — it reveals how cross-layer interactions accelerate or dampen spreading and lowers epidemic thresholds compared to single-layer models.	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.