Comparar métodos

	Centralidad de grado ponderado	Centralidad de grado
Campo	Análisis de redes	Análisis de redes
Familia	Machine learning	Machine learning
Año de origen	2004	1978
Autor original	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.	Freeman, L. C.
Tipo	Centrality measure for weighted networks	Node-level centrality measure
Fuente seminal	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	node strength, strength centrality, weighted node degree, WDC	node degree, degree score, DC, connectivity centrality
Relacionados	6	6
Resumen	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.	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.