Influence Maximization in Social Networks Using Improved Genetic Algorithm
Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a social network to maximize the spread of information, ideas, or behaviors. Most existing studies have used ce...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11080389/ |
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