Bandingkan metode

	Analisis Jaringan Sosial Berbobot	Sentralitas Derajat Berbobot
Bidang	Analisis Jaringan	Analisis Jaringan
Keluarga	Machine learning	Machine learning
Tahun asal	2004–2010	2004
Pencetus	Barrat, A.; Opsahl, T. et al.	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
Tipe	Network analysis framework	Centrality measure for weighted networks
Sumber perintis	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.	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.
Alias	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis	node strength, strength centrality, weighted node degree, WDC
Terkait	6	6
Ringkasan	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.	Weighted degree centrality — also called node strength — extends the classic degree centrality measure to networks whose edges carry numeric weights. Instead of simply counting a node's connections, it sums the weights of all edges incident to that node, capturing both the volume and the intensity of a node's ties in a single, interpretable score.