Machine learningNetwork science

Directed Multiplex Network Analysis

Directed multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights.

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Sources

  1. 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. DOI: 10.1093/comnet/cnu016
  2. De Domenico, M., Sole-Ribalta, A., Cozzo, E., Kivela, M., Moreno, Y., Porter, M. A., Gomez, S., & Arenas, A. (2013). Mathematical formulation of multilayer networks. Physical Review X, 3(4), 041022. DOI: 10.1103/PhysRevX.3.041022

Related methods

ScholarGateDirected Multiplex Network Analysis (Directed Multiplex Network Analysis (Multi-layer Directed Graph Framework)). Retrieved 2026-06-04 from https://scholargate.app/en/network-analysis/directed-multiplex-network-analysis