So sánh phương pháp

	Độ Trung tâm Bậc Đa Lớp	Độ trung tâm bậc có trọng số
Lĩnh vực	Phân tích mạng lưới	Phân tích mạng lưới
Họ	Machine learning	Machine learning
Năm ra đời	2013–2014	2004
Người khởi xướng	Kivelä, M.; De Domenico, M. et al.	Barrat, A.; Barthélemy, M.; Pastor-Satorras, R.; Vespignani, A.
Loại	Centrality measure for multilayer networks	Centrality measure for weighted networks
Công trình gốc	Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.	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.
Tên gọi khác	multilayer degree, multiplex degree centrality, overlapping-layer degree centrality, MDC	node strength, strength centrality, weighted node degree, WDC
Liên quan	6	6
Tóm tắt	Multilayer degree centrality extends the classic degree centrality measure to networks composed of multiple layers — such as networks representing different types of social ties, communication channels, or relationship contexts simultaneously. It quantifies how many connections a node has across one or all layers, revealing nodes that are influential not just in a single context but across the entire multi-relational structure.	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.