Privacy and uniqueness of neighborhoods in social networks
Abstract 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...
Main Authors: | Daniele Romanini, Sune Lehmann, Mikko Kivelä |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-94283-5 |
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