Compara mètodes

	Anàlisi de Xarxes Multiplex Ponderades	Anàlisi de difusió en xarxes ponderades
Camp	Anàlisi de xarxes	Anàlisi de xarxes
Família	Machine learning	Machine learning
Any d'origen	2014	2004
Autor original	Battiston, F.; Kivela, M. et al.	Barrat, A.; Newman, M. E. J.
Tipus	Network analysis framework	Network diffusion model
Font seminal	Battiston, F., Nicosia, V., & Latora, V. (2014). Structural measures for multiplex networks. Physical Review E, 89(3), 032804.	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.
Àlies	WMNA, weighted multilayer network analysis, weighted multi-relational network analysis, multiplex weighted graph analysis	WNDA, weighted diffusion process, edge-weighted spreading analysis, weighted information diffusion
Relacionats	5	6
Resum	Weighted multiplex network analysis studies systems in which the same set of actors are connected through multiple types of relationships simultaneously, and each relationship carries a quantitative strength or frequency. By capturing both the variety and the intensity of ties across layers, it reveals patterns invisible to single-layer or unweighted network approaches.	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.