Сравнение методов

	Анализ взвешенной диффузии в сетях	Взвешенный анализ социальных сетей
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Machine learning
Год появления	2004	2004–2010
Автор метода	Barrat, A.; Newman, M. E. J.	Barrat, A.; Opsahl, T. et al.
Тип	Network diffusion model	Network analysis framework
Основополагающий источник	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.
Другие названия	WNDA, weighted diffusion process, edge-weighted spreading analysis, weighted information diffusion	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
Связанные	6	6
Сводка	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.