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Análise de Difusão em Redes Ponderadas×Análise de Rede Multipléx×
ÁreaAnálise de redesAnálise de redes
FamíliaMachine learningMachine learning
Ano de origem20042014
Autor originalBarrat, A.; Newman, M. E. J.Kivela, M.; Boccaletti, S. et al.
TipoNetwork diffusion modelStructural network model
Fonte seminalBarrat, 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. DOI ↗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. DOI ↗
Outros nomesWNDA, weighted diffusion process, edge-weighted spreading analysis, weighted information diffusionmultiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Relacionados66
ResumoWeighted 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.
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ScholarGateComparar métodos: Weighted Network Diffusion Analysis · Multiplex Network Analysis. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare