Identifying influential nodes with centrality indices combinations using symbolic regressions

• Main Authors: Mukhtar, Mohd Fariduddin, Abal Abas, Zuraida, Abdul Rasib, Amir Hamzah, Hairol Anuar, Siti Haryanti, Mohd Zaki, Nurul Hafizah, Abdul Rahman, Ahmad Fadzli Nizam, Zainal Abidin, Zaheera, Shibghatullah, Abdul Samad
• Format: Article
• Language: English
• Published: Science and Information Organization 2022
• Online Access: http://eprints.utem.edu.my/id/eprint/26630/2/IDENTIFYING%20INFLUENTIAL%20NODES%20WITH%20CENTRALITY%20INDICES%20COMBINATIONS%20USING%20SYMBOLIC%20REGRESSIONS_COMPRESSED.PDF; http://eprints.utem.edu.my/id/eprint/26630/; https://thesai.org/Downloads/Volume13No5/Paper_70-Identifying_Influential_Nodes_with_Centrality_Indices.pdf

Numerous strategies for determining the most influential nodes in a connected network have been developed. The use of centrality indices in a network allows the identification of the most important nodes in the network. Specific indices, on the other hand, cannot search for a network's entire m...