So sánh phương pháp

	Độ trung tâm khoảng cách đa lớp	Phân tích mạng đa tầng
Lĩnh vực	Phân tích mạng lưới	Phân tích mạng lưới
Họ	Machine learning	Machine learning
Năm ra đời	2013–2014	2014
Người khởi xướng	Kivela, M. et al.; De Domenico, M. et al.	Kivela, M.; Boccaletti, S. et al.
Loại	Centrality measure for multilayer networks	Structural network model
Công trình gốc	Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.	Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.
Tên gọi khác	multilayer closeness, multi-layer closeness centrality, MLC, interlayer closeness centrality	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Liên quan	5	6
Tóm tắt	Multilayer closeness centrality extends the classical closeness centrality measure to networks that contain multiple types of relationships or interaction contexts (layers). Rather than treating each layer in isolation, it computes how quickly a node can reach all others by traversing any combination of available layers, revealing nodes that are structurally efficient connectors across the full network system.	Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.