2 Matching Annotations
  1. Sep 2020
  2. arxiv.org arxiv.org
    Privacy and Uniqueness of Neighborhoods in Social Networks
    1
    1. katietaylor_99 23 Sep 2020

      Romanini, Daniele, Sune Lehmann, and Mikko Kivelä. ‘Privacy and Uniqueness of Neighborhoods in Social Networks’. ArXiv:2009.09973 [Physics], 21 September 2020. http://arxiv.org/abs/2009.09973.

      is:preprint lang:en privacy uniqueness neighbourhood social network sharing data optimization algorithms anonymize risk edge sampling re-identification data collection tractable
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    arxiv.org/abs/2009.09973
  3. Jul 2020
  4. www.nber.org www.nber.org
    Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19
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    1. ErikStuchly 30 Jul 2020

      Hortaçsu, A., Liu, J., & Schwieg, T. (2020). Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19 (Working Paper No. 27028; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27028

      is:article lang:en COVID-19 under-reporting estimation epicenter analytically tractable method USA covariation region visitor mortality
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    nber.org/papers/w27028