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 |
|---|---|
| Main Author: | |
| 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 |