방법 비교

	가중 네트워크 확산 분석	가중치 사회 연결망 분석 (Weighted Social Network Analysis)
분야	네트워크 분석	네트워크 분석
계열	Machine learning	Machine learning
기원 연도	2004	2004–2010
창시자	Barrat, A.; Newman, M. E. J.	Barrat, A.; Opsahl, T. et al.
유형	Network diffusion model	Network analysis framework
원전	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.
별칭	WNDA, weighted diffusion process, edge-weighted spreading analysis, weighted information diffusion	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis
관련	6	6
요약	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.