The risk of node re-identification in labeled social graphs
Abstract Real network datasets provide significant benefits for understanding phenomena such as information diffusion or network evolution. Yet the privacy risks raised from sharing real graph datasets, even when stripped of user identity information, are significant. When nodes have associated attr...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
SpringerOpen
2019-06-01
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| Serija: | Applied Network Science |
| Teme: | |
| Online dostop: | http://link.springer.com/article/10.1007/s41109-019-0148-x |
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