High and low similarity backbone extraction using similarity-based link prediction
Abstract Complex networks are fundamental to understanding systems across diverse domains. However, their increasing size and complexity pose challenges for analysis and scalability. Backbone extraction simplifies networks by preserving key structures while reducing complexity. Traditional methods i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
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| Series: | Applied Network Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-025-00705-y |
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