/onchain-trustscore-analysis

A collection of query, analysis, and visualization modules to support Sybil detection and public goods funding

Primary LanguageJupyter NotebookMIT LicenseMIT

Onchain Analysis Modules (🤖,💚)

A collection of modules, analysis, and visualization tools for monitoring Gitcoin Grants contributions for Sybil attacks and trustworthiness.

1. Gitcoin Grants Round 14 | Onchain Trustscore Analysis

Create trust classifiers based on DeSoc data: NFTs, POAPs, Snapshot, Lens, PoH... more!

Discussion and presentation of the results are available here.

2. Naive Flagging

A simple, naive flagging algorithm for identifying Sybil-like user behaviors and suspicious grants.

Note:

You will need access to private datasets from Gitcoin in order to perform this analysis.