Compară metode

	Analiza rețelelor sociale ponderate	Centralitatea de grad
Domeniu	Analiza rețelelor	Analiza rețelelor
Familie	Machine learning	Machine learning
Anul apariției	2004–2010	1978
Autorul original	Barrat, A.; Opsahl, T. et al.	Freeman, L. C.
Tip	Network analysis framework	Node-level centrality measure
Sursa seminală	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.
Denumiri alternative	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis	node degree, degree score, DC, connectivity centrality
Înrudite	6	6
Rezumat	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.