手法を比較

	重み付き社会ネットワーク分析	Betweenness Centrality
分野	ネットワーク分析	ネットワーク分析
系統	Machine learning	Machine learning
提唱年	2004–2010	1977
提唱者	Barrat, A.; Opsahl, T. et al.	Freeman, L. C.
種類	Network analysis framework	Centrality measure
原典	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.	Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41.
別名	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis	Freeman betweenness, BC, geodesic betweenness, shortest-path betweenness
関連	6	6
概要	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.	Betweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenness nodes act as bridges or brokers: removing them fragments the network into disconnected components more severely than removing any other nodes.