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Многослоен мрежов анализ×Анализ на двуделни мрежи×
ОбластМрежови анализМрежови анализ
СемействоProcess / pipelineProcess / pipeline
Година на възникване2013–2014 (formal mathematical framework)1997
СъздателKivelä et al. (2014); De Domenico et al. (2013)Borgatti & Everett (1997) formalised the two-mode network framework
ТипGraph-theoretic network modelGraph-structural / relational analysis
Основополагащ източникKivelä, M. et al. (2014). Multilayer Networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗Borgatti, S.P. & Everett, M.G. (1997). Network Analysis of 2-Mode Data. Social Networks, 19(3), 243-269. link ↗
Други названияmultiplex network analysis, multiplex networks, Çok Katmanlı Ağ Analizi (Multiplex Networks)two-mode network analysis, affiliation network analysis, İki Modlu Ağ Analizi (Bipartite Networks)
Свързани65
РезюмеMultilayer network analysis is a graph-theoretic framework, formalised by Kivelä et al. (2014) and De Domenico et al. (2013), that represents the same set of nodes simultaneously across multiple relationship layers. Where a single-layer network collapses all relationships into one graph, the multilayer model preserves the distinct relational context of each layer — social platform, biological interaction type, or infrastructure tier — while also modelling how layers couple with each other through interlayer edges.Bipartite network analysis, formalised by Borgatti and Everett in 1997, is a graph-structural method for studying networks in which nodes are divided into two disjoint sets — actors and events — and edges exist only between sets, never within them. It is the natural framework for author–paper, patient–disease, user–product, and any other affiliation data, and it extends one-mode network analysis by providing metrics and projection techniques tailored to the two-mode structure.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Multilayer Network Analysis · Bipartite Network Analysis. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare