Linganisha mbinu

	Uchambuzi wa Ustahimilivu na Maambukizi ya Mtandao	Uchambuzi wa Usentrali
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2000	1979
Mwanzilishi	Albert, Jeong & Barabási	Linton C. Freeman
Aina	Network robustness / vulnerability framework	Descriptive / exploratory network measure family
Chanzo asilia	Albert, R., Jeong, H. & Barabási, A.L. (2000). Error and attack tolerance of complex networks. Nature, 406, 378–382.	Freeman, L.C. (1979). Centrality in Social Networks: Conceptual Clarification. Social Networks, 1(3), 215-239.
Majina mbadala	network vulnerability analysis, attack tolerance analysis, Ağ Dayanıklılığı ve Güvenlik Açığı Analizi	Merkeziyet Analizi (Degree, Betweenness, Eigenvector), node centrality, centrality measures, graph centrality
Zinazohusiana	5	5
Muhtasari	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.	Centrality analysis is a family of network-analytic measures, formalized by Freeman (1979), that quantifies the structural importance of individual nodes within a graph. Each centrality index captures a distinct mechanism of influence: degree centrality reflects direct connectivity, betweenness centrality identifies nodes that broker information flow, closeness centrality captures proximity to all others, and eigenvector centrality (along with PageRank) rewards connection to highly connected neighbors.