Indian Journal of Science and Technology
DOI: 10.17485/IJST/v16i39.1234
Year: 2023, Volume: 16, Issue: 39, Pages: 3325-3331
Original Article
Sinumol Sukumaran1*, Sunil Kumar Raghavan Unnithan2
1Assistant Professor, Department of Mathematics, T.K. Madhava Memorial College, Nangiarkulangara, Kerala, India
2Associate Professor, Department of Mathematics, Baby John Memorial Govt. College, Chavara, Kerala, India
*Corresponding Author
Email: [email protected]
Received Date:02 June 2023, Accepted Date:22 September 2023, Published Date:17 October 2023
Objectives: In complex networks, the identification of key regions is determined through centrality measures. There are various centrality measures in which leverage centrality is specially designed for neural networks. In this article, we review all the recent research works on leverage centrality, focusing mainly on its mathematical perspective. Further, our present research work and the future scope of leverage centrality are given. Methods: For this systematic review, we referred all the relevant articles in this area from 2019 to till present. Findings: Leverage centrality analysis of some infrastructure networks and group leverage centrality are recently investigated. At the application level, leverage centrality has been used in the analysis of functional magnetic resonance imaging (fMRI) data, and real-world networks including airline connections, electrical power grids, co-authorship collaborations, molecular interaction networks, and sparse complex networks. Novelty: Brain networks have demonstrated hierarchical structure and may be decomposed into modules or neighborhoods of nodes that perform similar processes. A novel centrality metric called leverage centrality proposed by Joyce et al. may be of particular use in such hierarchical networks as an aid in identifying hubs, nodes that are important to maintaining local topological structure.
Keywords: Centrality Measure, Neural Network, Fmri, Hubs, Group Leverage Centrality
© 2023 Sukumaran & Unnithan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
Subscribe now for latest articles and news.