Integrating local and global information to identify influential nodes in complex networks

• Main Authors: Mukhtar, Mohd Fariduddin, Abal Abas, Zuraida, Baharuddin, Azhari Samsu, Norizan, Mohd Natashah, Wan Fakhruddin, Wan Farah Wani, Minato, Wakisaka, Abdul Rasib, Amir Hamzah, Abidin, Zaheera Zainal, Abdul Rahman, Ahmad Fadzli Nizam, Hairol Anuar, Siti Haryanti
• Format: Article
• Language: English
• Published: Nature Research 2023
• Online Access: http://psasir.upm.edu.my/id/eprint/108701/1/Integrating%20local%20and%20global%20information.pdf; http://psasir.upm.edu.my/id/eprint/108701/; https://www.nature.com/articles/s41598-023-37570-7?error=cookies_not_supported&code=a0fae67a-1037-4ee2-87c4-7addcf6b6c76

Centrality analysis is a crucial tool for understanding the role of nodes in a network, but it is unclear how different centrality measures provide much unique information. To improve the identification of influential nodes in a network, we propose a new method called Hybrid-GSM (H-GSM) that combine...