השוואת שיטות

	ניתוח דיפוזיה ברשתות משוקללות	ניתוח רשתות מרובות (Multiplex Network Analysis)
תחום	ניתוח רשתות	ניתוח רשתות
משפחה	Machine learning	Machine learning
שנת המקור	2004	2014
הוגה השיטה	Barrat, A.; Newman, M. E. J.	Kivela, M.; Boccaletti, S. et al.
סוג	Network diffusion model	Structural network model
מקור מכונן	Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.	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.
כינויים	WNDA, weighted diffusion process, edge-weighted spreading analysis, weighted information diffusion	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
קשורות	6	6
תקציר	Weighted Network Diffusion Analysis models how information, influence, disease, or resources spread through a network whose edges carry quantitative strength values. By letting tie weights govern transition probabilities, the method produces more realistic spreading dynamics than binary-edge diffusion, revealing which high-traffic pathways dominate propagation in social, biological, and information networks.	Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.