Influence Maximization in Social Networks Using Discrete Manta-Ray Foraging Optimization Algorithm and Combination of Centrality Criteria
Influence Maximization (IM) is a fundamental problem in social network analysis that seeks to identify a small set of highly influential nodes that can maximize the spread of information. Due to its NP-hard nature, finding an exact solution is computationally infeasible for large-scale networks. To...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ferdowsi University of Mashhad
2025-05-01
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| Series: | Computer and Knowledge Engineering |
| Subjects: | |
| Online Access: | https://cke.um.ac.ir/article_46989_7597f89765eb96549452b4e4984f62a0.pdf |
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