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Analiza wielowarstwowych sieci czasowych×Wykrywanie wielowarstwowych społeczności×
DziedzinaAnaliza sieciAnaliza sieci
RodzinaMachine learningMachine learning
Rok powstania2012–20142010–2014
TwórcaKivela, M. et al.; Holme, P. & Saramaki, J.Mucha, P. J. et al.; Kivela, M. et al.
TypNetwork analysis frameworkCommunity detection algorithm for multilayer networks
Źródło pierwotneKivela, 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 ↗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 ↗
Inne nazwyMTNA, temporal multilayer network analysis, time-varying multilayer network analysis, dynamic multilayer network analysismultilayer clustering, multiplex community detection, cross-layer community detection, MCD
Pokrewne45
PodsumowanieMultilayer temporal network analysis studies relational systems in which nodes interact through multiple distinct types of ties that all evolve over time. By modeling each relationship type as a separate layer and tracking how those layers change across time snapshots, the method reveals how cross-layer dynamics and temporal patterns jointly shape information flow, influence spread, and community structure.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.
ScholarGateZbiór danych
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  1. v1
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  3. PUBLISHED

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ScholarGatePorównaj metody: Multilayer Temporal Network Analysis · Multilayer Community Detection. Pobrano 2026-06-17 z https://scholargate.app/pl/compare