Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking

In complex networks, node impact refers to an individual node's significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the infrastructure is studied. Centrality measures are c...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.93711-93722
Hauptverfasser:	Chiranjeevi, Mondikathi, Dhuli, V. Sateeshkrishna, Enduri, Murali Krishna, Hajarathaiah, Koduru, Cenkeramaddi, Linga Reddy
Format:	Artikel
Sprache:	eng
Schlagworte:	betweenness centrality Complex networks Complexity Dynamic structural analysis Eigenvectors Indexes Integrated circuit modeling isolating centrality isolating-betweenness centrality Measurement node impact Nodes Performance evaluation Time complexity Time measurement Weight measurement
Online-Zugang:	Volltext
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