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

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...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính: Mondikathi Chiranjeevi, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Koduru Hajarathaiah, Linga Reddy Cenkeramaddi
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: IEEE 2024-01-01
Loạt:IEEE Access
Những chủ đề:
Complex networks
node impact
isolating centrality
betweenness centrality
isolating-betweenness centrality
Truy cập trực tuyến:https://ieeexplore.ieee.org/document/10589412/

Internet

https://ieeexplore.ieee.org/document/10589412/

Những quyển sách tương tự