Consider using Karma3 Labs, OSO, EigenTrust and open-source algorithm from Optimism Foundation that they used for RetroFunding round 5 to measure expertise and reputation within the Collective

Retro Funding 5: Expert voting experiment

Retroactive Public Goods Funding 5 (Retro Funding) will reward contributions to the OP Stack. A high degree of knowledge is required to understand the OP Stack’s different components, the impact of protocol development initiatives and the usefulness of tools that support OP chain operators. The hypothesis that round 5 is aiming to test is if experts make better OP allocation decisions on OP Stack contributions compared to non-experts. Research Questions The Retro Funding 5 governance experiment...

gov.optimism.io

Expertise Measurement

Expertise is measured via a score assigned to each individual based on their past Github activity relating to the OP Stack. The GitHub accounts of guest voters are collected in the application flow to become a guest voter. Badgeholders are invited to add their GitHub account to their Optimist Profile in the process of completing Season 6 onboarding. The scores are assigned using an algorithm developed through a collaboration between Karma3Labs 5 and Open Source Observer, and is based on Hubs and Authorities. The algorithm is more complex than EigenTrust, because it incorporates two entities: GitHub Repos and GitHub Users, both of which can have ‘trust’ and give ‘trust’ to each other. The algorithm used to rank expertise will be open sourced after the conclusion of Round 5 to avoid influencing the experiment. You can find more details on guest voter selection here 11