方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 多层网络分析× | 二部网络分析× | |
|---|---|---|
| 领域 | 网络分析 | 网络分析 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2013–2014 (formal mathematical framework) | 1997 |
| 提出者≠ | Kivelä et al. (2014); De Domenico et al. (2013) | Borgatti & Everett (1997) formalised the two-mode network framework |
| 类型≠ | Graph-theoretic network model | Graph-structural / relational analysis |
| 开创性文献≠ | Kivelä, 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 ↗ |
| 别名 | multiplex network analysis, multiplex networks, Çok Katmanlı Ağ Analizi (Multiplex Networks) | two-mode network analysis, affiliation network analysis, İki Modlu Ağ Analizi (Bipartite Networks) |
| 相关≠ | 6 | 5 |
| 摘要≠ | Multilayer 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. |
| ScholarGate数据集 ↗ |
|
|