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	मल्टीलेयर पेज-रैंक	बहुस्तरीय समुदाय पहचान
क्षेत्र	नेटवर्क विश्लेषण	नेटवर्क विश्लेषण
परिवार	Machine learning	Machine learning
उद्भव वर्ष	2015	2010–2014
प्रवर्तक	De Domenico, M.; Sole-Ribalta, A.; Arenas, A. et al.	Mucha, P. J. et al.; Kivela, M. et al.
प्रकार	Centrality measure (random-walk-based)	Community detection algorithm for multilayer networks
मौलिक स्रोत	De Domenico, M., Sole-Ribalta, A., Omodei, E., Gomez, S., & Arenas, A. (2015). Ranking in interconnected multilayer networks reveals versatile nodes. Nature Communications, 6, 6868.	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.
उपनाम	multiplex PageRank, layer-coupled PageRank, multilayer random walk centrality, MuxRank	multilayer clustering, multiplex community detection, cross-layer community detection, MCD
संबंधित	5	5
सारांश	Multilayer PageRank extends the classic PageRank random-walk centrality to networks that contain multiple interconnected layers — such as a social network where people are connected simultaneously via friendship, professional ties, and online platforms. By allowing a virtual walker to jump both within and across layers, the algorithm identifies nodes that are influential across the entire multilayer structure, not just within any single layer.	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.