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Privacy and uniqueness of neighborhoods in social networks
The ability to share social network data at the level of individual connections is beneficial to science: not only for reproducing results, but also for researchers who may wish to use it for purposes not foreseen by the data releaser. Sharing such data, however, can lead to serious privacy issues,...
Autores principales: | Romanini, Daniele, Lehmann, Sune, Kivelä, Mikko |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505500/ https://www.ncbi.nlm.nih.gov/pubmed/34635678 http://dx.doi.org/10.1038/s41598-021-94283-5 |
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