方法对比
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| 多层网络分析× | 网络图锦分析× | |
|---|---|---|
| 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) | 2002 |
| 提出者≠ | Kivelä et al. (2014); De Domenico et al. (2013) | — |
| 类型≠ | Graph-theoretic network model | Statistical pattern-detection method for directed graphs |
| 开创性文献≠ | Kivelä, M. et al. (2014). Multilayer Networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗ | Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002). Network Motifs: Simple Building Blocks of Complex Networks. Science, 298(5594), 824-827. DOI ↗ |
| 别名 | multiplex network analysis, multiplex networks, Çok Katmanlı Ağ Analizi (Multiplex Networks) | network motifs, subgraph significance profile, Ağ Motif Analizi (Network Motifs) |
| 相关≠ | 6 | 3 |
| 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. | Network motif analysis is a statistical method for directed networks, introduced by Milo, Shen-Orr, and Alon in 2002, that identifies small recurring subgraph patterns — motifs — that appear significantly more often than would be expected in a comparable random network. By comparing a real network against a null ensemble of randomised graphs, the method reveals the elementary structural building blocks that define the functional organisation of biological regulatory networks, social networks, and other complex systems. |
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