Vertaile menetelmiä

	Ohjattu monimutkaisten verkostojen analyysi	Monikerroksisen verkon diffuusion analyysi
Tieteenala	Verkostoanalyysi	Verkostoanalyysi
Menetelmäperhe	Machine learning	Machine learning
Syntyvuosi	2013–2014	2013–2014
Kehittäjä	Kivela, M.; De Domenico, M. et al.	Gomez, S. et al.; Boccaletti, S. et al.
Tyyppi	Multi-layer directed graph framework	Network diffusion model
Alkuperäislähde	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.	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.
Rinnakkaisnimet	directed multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNA	multiplex diffusion analysis, multilayer spreading analysis, cross-layer contagion analysis, diffusion on multiplex networks
Liittyvät	6	6
Tiivistelmä	Directed multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights.	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.