Machine learningNetwork science
Multilayer Community Detection
Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss.
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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 ↗
- Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876–878. DOI: 10.1126/science.1184819 ↗
Related methods
Referenced by
Bayesian Community DetectionDynamic Community DetectionMultilayer Betweenness CentralityMultilayer Closeness CentralityMultilayer Knowledge Graph AnalysisMultilayer Network Diffusion AnalysisMultilayer PageRankMultilayer Stochastic Block ModelMultilayer Temporal Network AnalysisMultilayer Two-Mode Network Analysis