EIM: A Novel Evolutionary Influence Maximizer in Complex Networks
This study addresses influence maximization in complex networks, aiming to identify optimal seed nodes for maximal cascades. Greedy methods, though effective, prove inefficient for large-scale social networks. This article introduces a double-chromosome evolutionary algorithm to tackle this challeng...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/cplx/9973872 |
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