Compară metode

	Centralitatea de grad multistrat	Centralitatea de grad
Domeniu	Analiza rețelelor	Analiza rețelelor
Familie	Machine learning	Machine learning
Anul apariției	2013–2014	1978
Autorul original	Kivelä, M.; De Domenico, M. et al.	Freeman, L. C.
Tip	Centrality measure for multilayer networks	Node-level centrality measure
Sursa seminală	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.	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Denumiri alternative	multilayer degree, multiplex degree centrality, overlapping-layer degree centrality, MDC	node degree, degree score, DC, connectivity centrality
Înrudite	6	6
Rezumat	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.	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.