IMNE: Maximizing influence through deep learning-based node embedding in social network

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IMNE: Maximizing influence through deep learning-based node embedding in social network

Influence Maximization (IM) is a critical problem in social network analysis and marketing. It involves identifying a subset of nodes in a social network whose activation or influence can lead to the maximal spread of information, ideas, or behaviors within the network. Although many approaches have...

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Bibliographic Details
Published in:	Swarm and Evolutionary Computation
Main Author:	Hu Q.; Jiang J.; Xu H.; Kassim M.
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193444633&doi=10.1016%2fj.swevo.2024.101609&partnerID=40&md5=e57f43278a0dbb914917346e9b731f21

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