metadata: {"title": "Community Graphs", "logoImg": "bafkreifwh5ifage7xv74g4brvchvpm5hlletxzdgvtyfs5qvezmkmdpqze", "website": "https://www.maitri.network/communitygraphs", "bannerImg": "bafkreig56uivfz222eo2ogltwcpaq2f4ykzid5kjeqc234tgbq2v42shtq", "createdAt": 1721031007745, "userGithub": "", "credentials": {}, "description": "Community Graphs significantly improves social coordination by more accurately representing group membership, and the extent of each member\u2019s involvement. This enhances social dynamics, improves community governance, and unlocks the development of more robust, scalable reputation systems.\n\nMembers in groups privately attest to one another\u2019s\u2019 level of involvement in a group, and concepts behind Web of Trust and Quadratic Voting are applied to produce membership levels which exist on a continuum. \n\nThese levels can be incorporated in group voting to give more weight to those who are more deeply involved, or to allow them to invite more new members into that group than someone on the periphery.\n\nOverlapping memberships between groups can be used to improve reputation systems, as trust and credibility is established in one community and then extended to other communities based on members they have in common and their respective membership levels. Communities themselves can also have reputations, which they can stake to give their members\u2019 reputations a much farther reach than can be achieved with social graphs alone.\n\nThese types of scalable reputation systems unlock many new social coordination tools, including social-based sybil and collusion resistance, battling misinformation and deep fakes, and uncollateralized lending. \n\nCommunity Graphs is modular and composable, allowing anyone to integrate or build their own attestation mechanisms, voting algorithms, and reputation systems. \n", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "Community-Graphs-public"}
name: Community Graphs