Linganisha mbinu

	Uchambuzi wa Usentrali	Uchambuzi wa Ustahimilivu na Maambukizi ya Mtandao
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1979	2000
Mwanzilishi	Linton C. Freeman	Albert, Jeong & Barabási
Aina	Descriptive / exploratory network measure family	Network robustness / vulnerability framework
Chanzo asilia	Freeman, L.C. (1979). Centrality in Social Networks: Conceptual Clarification. Social Networks, 1(3), 215-239.	Albert, R., Jeong, H. & Barabási, A.L. (2000). Error and attack tolerance of complex networks. Nature, 406, 378–382.
Majina mbadala	Merkeziyet Analizi (Degree, Betweenness, Eigenvector), node centrality, centrality measures, graph centrality	network vulnerability analysis, attack tolerance analysis, Ağ Dayanıklılığı ve Güvenlik Açığı Analizi
Zinazohusiana	5	5
Muhtasari	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.	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.