مقایسهٔ روش‌ها

	تحلیل انتشار شبکه‌ای وزن‌دار	تحلیل شبکه‌های اجتماعی وزن‌دار
حوزه	تحلیل شبکه	تحلیل شبکه
خانواده	Machine learning	Machine learning
سال پیدایش	2004	2004–2010
پدیدآور	Barrat, A.; Newman, M. E. J.	Barrat, A.; Opsahl, T. et al.
نوع	Network diffusion model	Network analysis framework
منبع بنیادین	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.	Barrat, A., Barthélemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752.
نام‌های دیگر	WNDA, weighted diffusion process, edge-weighted spreading analysis, weighted information diffusion	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
مرتبط	6	6
خلاصه	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.	Weighted Social Network Analysis extends classical SNA by assigning numeric values — weights — to ties between actors, capturing tie strength, interaction frequency, or resource flow. Rather than treating all connections as equal, it reveals who holds privileged positions by virtue of the intensity, not merely the existence, of their relationships.