Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Proceedings
Publisher : IEEE
Source : 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)
Url : https://ieeexplore.ieee.org/abstract/document/9076500
Campus : Amritapuri
School : School of Computing
Center : Computational Bioscience
Department : Computer Science
Year : 2020
Abstract : The detection of the nodes that are more influencing in a complex network is considered as a critical research aspect. There are many intuitive thoughts about what a center node measure. The greater a node is centred, the greater it becomes crucial. Formally, a centrality degree is a real-valued function at the node of the graph. In this paper, we present, the existing research works on the measures of centrality in complicated networks and advise the exceptional centrality degree for a complex community. By finding the most influential node in a complex network, we can spread the message in an efficient and faster way. Our proposed work illustrates the method to get the most dominant nodes in a complex network.
Cite this Research Publication : Harigovindan G.M., Naveen S.M., Jisha C.R. “A Novel Method to Find the most Influential Node in a Complex Network” , DOI: 10.1109/ICCMC48092.2020.ICCMC-000108