MANI SAKETH, Chennapragada VSS, PRANAY, Kakarla, SUSARLA, Akhila, RAVI RAM KARTHIK, Dukka, TANGIRALA, Jaya Lakshmi and NANDINI, YV (2023). A Study on Influence Maximization in Complex Networks. In: BHAJETA, Vikrant, CARROLL, Fiona, TAVARES, João Manuel R. S., SENGHAR, Sandeep Singh and PEER, Peter, (eds.) Intelligent Data Engineering and Analytics. Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023). Smart Innovation, Systems and Technologies (371). Singapore, Springer Nature Singapore, 111-119.
Full text not available from this repository.Abstract
Influence maximization deals with finding the most influential subset from a given complex network. It is a research problem that can be resourceful for various markets, for instance, the advertising market. This study reviews the dominant algorithms in the field of influence propagation and maximization from a decade.
Item Type: | Book Section |
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Additional Information: | Series ISSN - 2190-3026 FICTA 2023 11-12 April, Cardiff, UK. |
Identification Number: | https://doi.org/10.1007/978-981-99-6706-3_10 |
Page Range: | 111-119 |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 06 Mar 2024 13:08 |
Last Modified: | 07 Mar 2024 12:54 |
URI: | https://shura.shu.ac.uk/id/eprint/33360 |
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