Machine learningNetwork science
Multiplex Network Analysis
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.
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Sources
- 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 ↗
- Boccaletti, S., Bianconi, G., Criado, R., del Genio, C. I., Gomez-Gardenes, J., Romance, M., Sendina-Nadal, I., Wang, Z., & Zanin, M. (2014). The structure and dynamics of multilayer networks. Physics Reports, 544(1), 1–122. DOI: 10.1016/j.physrep.2014.07.001 ↗
Related methods
Referenced by
Bayesian Multiplex Network AnalysisDirected Multiplex Network AnalysisDirected Network Diffusion AnalysisDirected Two-Mode Network AnalysisDynamic Modularity AnalysisDynamic Two-Mode Network AnalysisKnowledge Graph AnalysisMultilayer Betweenness CentralityMultilayer Closeness CentralityMultilayer Community DetectionMultilayer Degree CentralityMultilayer Knowledge Graph AnalysisMultilayer Network Diffusion AnalysisMultilayer PageRankMultilayer Social Network AnalysisMultilayer Temporal Network AnalysisMultilayer Two-Mode Network AnalysisTemporal Community DetectionTemporal Multiplex Network AnalysisTemporal Network Diffusion AnalysisTemporal Social Network AnalysisTwo-mode Network AnalysisWeighted Community DetectionWeighted Knowledge Graph AnalysisWeighted Multiplex Network AnalysisWeighted Network Diffusion AnalysisWeighted Temporal Network AnalysisWeighted Two-Mode Network Analysis