So sánh phương pháp

	Dự đoán liên kết	Phân tích Khả năng phục hồi và Tính dễ bị tổn thương của Mạng lưới
Lĩnh vực	Phân tích mạng lưới	Phân tích mạng lưới
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2003	2000
Người khởi xướng	—	Albert, Jeong & Barabási
Loại	Network inference task	Network robustness / vulnerability framework
Công trình gốc	Liben-Nowell, D. & Kleinberg, J. (2007). The Link-Prediction Problem for Social Networks. Journal of the American Society for Information Science and Technology, 58(7), 1019-1031.	Albert, R., Jeong, H. & Barabási, A.L. (2000). Error and attack tolerance of complex networks. Nature, 406, 378–382.
Tên gọi khác	Bağlantı Tahmini (Link Prediction), missing link prediction, future link prediction, edge prediction	network vulnerability analysis, attack tolerance analysis, Ağ Dayanıklılığı ve Güvenlik Açığı Analizi
Liên quan	5	5
Tóm tắt	Link prediction is a network-analysis task that estimates which edges are missing from an observed graph or which edges are likely to form in the future. Formalised by Liben-Nowell and Kleinberg (2003, 2007), it covers a spectrum of approaches — from simple structural similarity indices such as Common Neighbors, Jaccard coefficient, and Adamic-Adar, to matrix factorisation, and graph neural network (GNN) methods — and is evaluated with AUC and Average Precision to account for the heavily imbalanced ratio of real to non-existing edges.	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.