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

• Main Authors: Mukhtar, Mohd. Fariduddin, Abas, Zuraida Abal, Samsu Baharuddin, Azhari, Norizan, Mohd. Natashah, Wan Fakhruddin, Wan Farah Wani, Minato, Wakisaka, Abdul Rasib, Amir Hamzah, Zainal Abidin, Zaheera, Abdul Rahman, Ahmad Fadzli Nizam, Hairol Anuar, Siti Haryanti
• Format: Article
• Language: English
• Published: Springer Nature 2023
• Subjects: H Social Sciences (General); Q Science (General)
• Online Access: http://eprints.utm.my/106849/1/WanFarahWani2023_IntegratingLocalandGlobalInformationtoIdentify.pdf; http://eprints.utm.my/106849/; http://dx.doi.org/10.1038/s41598-023-37570-7

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...