Сравнение на методи

	Мултислойно откриване на общности	Мултислоен анализ на социални мрежи
Област	Мрежови анализ	Мрежови анализ
Семейство	Machine learning	Machine learning
Година на възникване	2010–2014	2014
Създател	Mucha, P. J. et al.; Kivela, M. et al.	Kivela, M.; Boccaletti, S. et al.
Тип	Community detection algorithm for multilayer networks	Structural network analysis framework
Основополагащ източник	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.	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.
Други названия	multilayer clustering, multiplex community detection, cross-layer community detection, MCD	MSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis
Свързани	5	6
Резюме	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.	Multilayer social network analysis extends classical single-layer network methods to settings where actors are connected through multiple, distinct types of ties — such as friendship, professional collaboration, and online interaction — simultaneously. By modeling each type of relationship as a separate layer and explicitly representing connections across layers, it captures structural complexity that a single aggregated network would hide.