Influence of multiple spreaders through farthest first traversal
Abstract Identifying influential spreaders in complex networks is crucial for improving the efficiency of spreading processes. In this paper, we use a farthest first traversal to partition the network into communities and identify influential spreaders. The spreaders selected by this method satisfy...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
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| Series: | Applied Network Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-024-00676-6 |
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