Сравнение на методи

	Анализ на насочени мултиплексни мрежи	Насочена анализ на социални мрежи
Област	Мрежови анализ	Мрежови анализ
Семейство	Machine learning	Machine learning
Година на възникване	2013–2014	1994
Създател	Kivela, M.; De Domenico, M. et al.	Wasserman, S. & Faust, K.
Тип	Multi-layer directed graph framework	Structural analysis of directed graphs
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.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Други названия	directed multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNA	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis
Свързани	6	5
Резюме	Directed multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights.	Directed Social Network Analysis (directed SNA) studies networks in which every tie has an explicit direction — from a sender to a receiver — rather than treating relationships as symmetric. It extends the classical SNA toolkit with in-degree, out-degree, reciprocity, and asymmetric path measures, making it the appropriate framework wherever relationship direction carries substantive meaning, such as citation flows, advice-seeking, follower graphs, or information cascades.