Linganisha mbinu

	Uchambuzi wa Mtandao wa Mfumo wa Muda	Uchanganuzi wa Mitandao Mingi (Multiplex Network Analysis)
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	2012–2014	2014
Mwanzilishi	Kivela, M.; Holme, P.; Saramaki, J. (among foundational contributors)	Kivela, M.; Boccaletti, S. et al.
Aina	Structural and dynamic network analysis	Structural network model
Chanzo asilia	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.
Majina mbadala	TMNA, time-varying multiplex network analysis, dynamic multiplex network analysis, temporal multilayer network analysis	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Zinazohusiana	5	6
Muhtasari	Temporal multiplex network analysis studies relational systems in which actors are connected by multiple distinct types of relationships that all evolve over time. By simultaneously tracking layer heterogeneity and temporal dynamics, the method reveals how different interaction channels co-evolve, which actors hold persistent cross-layer influence, and how structural changes propagate across relationship types and time periods.	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.