Linganisha mbinu

	Uchambuzi wa Uenezaji wa Mitandao Mingi (Multilayer Network Diffusion Analysis)	Ugunduzi wa Jumuiya za Tabaka Nyingi
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	2013–2014	2010–2014
Mwanzilishi	Gomez, S. et al.; Boccaletti, S. et al.	Mucha, P. J. et al.; Kivela, M. et al.
Aina	Network diffusion model	Community detection algorithm for multilayer networks
Chanzo asilia	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.
Majina mbadala	multiplex diffusion analysis, multilayer spreading analysis, cross-layer contagion analysis, diffusion on multiplex networks	multilayer clustering, multiplex community detection, cross-layer community detection, MCD
Zinazohusiana	6	5
Muhtasari	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.