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...
Published in: | Swarm and Evolutionary Computation |
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Main Author: | Hu Q.; Jiang J.; Xu H.; Kassim M. |
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2024
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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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