Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Verkon häiriönsietokyvyn ja haavoittuvuuden analyysi× | Monikerrosverkkoanalyysi× | |
|---|---|---|
| Tieteenala | Verkostoanalyysi | Verkostoanalyysi |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2000 | 2013–2014 (formal mathematical framework) |
| Kehittäjä≠ | Albert, Jeong & Barabási | Kivelä et al. (2014); De Domenico et al. (2013) |
| Tyyppi≠ | Network robustness / vulnerability framework | Graph-theoretic network model |
| Alkuperäislähde≠ | Albert, R., Jeong, H. & Barabási, A.L. (2000). Error and attack tolerance of complex networks. Nature, 406, 378–382. DOI ↗ | Kivelä, M. et al. (2014). Multilayer Networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗ |
| Rinnakkaisnimet | network vulnerability analysis, attack tolerance analysis, Ağ Dayanıklılığı ve Güvenlik Açığı Analizi | multiplex network analysis, multiplex networks, Çok Katmanlı Ağ Analizi (Multiplex Networks) |
| Liittyvät≠ | 5 | 6 |
| Tiivistelmä≠ | Network resilience and vulnerability analysis is an analytical framework, formalised by Albert, Jeong, and Barabási (2000), that measures how a network degrades functionally as nodes or edges are progressively removed. By running targeted-attack simulations — removing the highest-centrality nodes first — and random-failure simulations — removing nodes at uniform probability — the framework identifies which structural elements are critical to network integrity and where infrastructure is most exposed. | 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. |
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