পদ্ধতির তুলনা করুন

	বহুস্তরীয় স্টোকাস্টিক ব্লক মডেল	বহুস্তরীয় কমিউনিটি সনাক্তকরণ
ক্ষেত্র	নেটওয়ার্ক বিশ্লেষণ	নেটওয়ার্ক বিশ্লেষণ
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	2015-2017	2010–2014
প্রবর্তক	Peixoto, T. P.; De Bacco, C. and colleagues	Mucha, P. J. et al.; Kivela, M. et al.
ধরন	Generative probabilistic model	Community detection algorithm for multilayer networks
মৌলিক উৎস	Peixoto, T. P. (2015). Inferring the mesoscale structure of layered, edge-valued, and time-varying networks. Physical Review E, 92(4), 042807.	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.
অপর নাম	ML-SBM, multilayer SBM, multi-layer stochastic block model, multiplex stochastic block model	multilayer clustering, multiplex community detection, cross-layer community detection, MCD
সম্পর্কিত	4	5
সারসংক্ষেপ	The Multilayer Stochastic Block Model (ML-SBM) is a generative probabilistic framework that extends the classical stochastic block model to networks with multiple relation types or layers. It simultaneously infers community structure and block-to-block connection probabilities across all layers, capturing how communities cohere differently depending on context or relationship type.	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.