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| ネットワークのレジリエンスと脆弱性分析× | 時間的ネットワーク分析× | |
|---|---|---|
| 分野 | ネットワーク分析 | ネットワーク分析 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2000 | 2012 |
| 提唱者≠ | Albert, Jeong & Barabási | Holme & Saramäki (2012) — seminal framework |
| 種類≠ | Network robustness / vulnerability framework | Dynamic graph analysis |
| 原典≠ | Albert, R., Jeong, H. & Barabási, A.L. (2000). Error and attack tolerance of complex networks. Nature, 406, 378–382. DOI ↗ | Holme, P. & Saramäki, J. (2012). Temporal Networks. Physics Reports, 519(3), 97-125. DOI ↗ |
| 別名 | network vulnerability analysis, attack tolerance analysis, Ağ Dayanıklılığı ve Güvenlik Açığı Analizi | dynamic network analysis, time-varying network analysis, Zamansal Ağ Analizi (Temporal / Dynamic Networks) |
| 関連≠ | 5 | 3 |
| 概要≠ | 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. | Temporal network analysis, formalised by Holme and Saramäki in their landmark 2012 Physics Reports survey, is the study of networks in which edges appear and disappear over time. Rather than collapsing all contacts into a single static graph, the approach preserves the precise timing of interactions — whether as contact sequences, time-stamped event lists, or windowed snapshots — and uses that timing to track how influence, disease, or information can actually propagate through the system. |
| ScholarGateデータセット ↗ |
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