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Aug 24, 2023:::info Updated by December 2021 ::: Authors: Danilo Lessa Bernardineli Results under the original scope The definitions & methodology of the research plan were sucessfully implementedThis includes creating rewiring optimizers based on Hill Climbing and Simulated Annealing that were pushed to the NetworkX module <sup><sub>Source: https://github.com/gitcoinco/gitcoin_cadcad_model/tree/main/optimality_gap</sub></sup>
May 23, 2023:::info Updated by September 2021 ::: Authors: Danilo Lessa Bernardineli Summary The combined FDD process is effective at catching about 83% of the Sybil Users (between 100% to 57% under 95% CI) according to blind human evaluations. The best estimate for Sybil Incidence on Gitcoin is 6.4%, and is contained between 3.6% to 9.3% with 95% CI. IP clusters together with GitHub account creation date are the most relevant features for detecting sybil users programatically right now. The Fraud Tax is computed as 0.61% of the Funding Amount. Links
May 23, 2023Updated by December 2021
May 23, 2023
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