Σύγκριση μεθόδων

	Σταθμισμένη Ανάλυση Κοινωνικών Δικτύων	Κεντρικότητα Βαθμού
Πεδίο	Ανάλυση Δικτύων	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2004–2010	1978
Δημιουργός	Barrat, A.; Opsahl, T. et al.	Freeman, L. C.
Τύπος	Network analysis framework	Node-level centrality measure
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	Weighted SNA, valued network analysis, tie-strength network analysis, weighted graph analysis	node degree, degree score, DC, connectivity centrality
Συναφείς	6	6
Σύνοψη	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.