Comparar métodos

	Análisis de Difusión en Redes Multicapa	Análisis de Difusión en Red
Campo	Análisis de redes	Análisis de redes
Familia	Machine learning	Machine learning
Año de origen	2013–2014	1927 (epidemic roots); network formalization 1990s–2000s
Autor original	Gomez, S. et al.; Boccaletti, S. et al.	Kermack, W. O. & McKendrick, A. G.
Tipo	Network diffusion model	Simulation / analytical model
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.	Kermack, W. O. & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London A, 115(772), 700–721.
Alias	multiplex diffusion analysis, multilayer spreading analysis, cross-layer contagion analysis, diffusion on multiplex networks	diffusion on networks, information diffusion, contagion spreading model, network propagation model
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.	Network diffusion analysis models how information, diseases, behaviors, or innovations spread across a graph of nodes and edges. Drawing on classical epidemic theory (SI, SIR, SIS) and modern network science, it tracks which nodes become infected, how quickly, and whether the spread reaches a global cascade or dies out locally.