Bandingkan metode

	Analisis Jaringan Sosial Berbobot	Sentralitas Derajat
Bidang	Analisis Jaringan	Analisis Jaringan
Keluarga	Machine learning	Machine learning
Tahun asal	2004–2010	1978
Pencetus	Barrat, A.; Opsahl, T. et al.	Freeman, L. C.
Tipe	Network analysis framework	Node-level centrality measure
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.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Alias	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis	node degree, degree score, DC, connectivity centrality
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.	Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.