ManteCurated LiveHive Curation Analytics
Analyze curation quality on Hive blockchain with the revolutionary Curation Quality Score (CQS) system
CQS Score 1-100
Comprehensive quality metric measuring curator performance across breadth, distribution, and anti-self dimensions
Real-Time Analytics
Live voting power tracking, vote history analysis, and detailed metrics from Hive blockchain
Compare & Export
Side-by-side curator comparison with exportable reports in Markdown, JSON, and CSV formats
What is Curation Quality Score?
Breadth
Measures diversity of content curation. Ideal curators support up to 100 unique authors, fostering a vibrant ecosystem.
Distribution
Evaluates fairness using the Gini coefficient. High scores indicate balanced voting rather than concentrated power.
Anti-Self
Rewards community-focused curation. Lower self-voting percentages lead to higher quality scores.
Geometric Mean Formula: CQS combines all three dimensions using (B × D × S)^(1/3), ensuring balanced excellence across all metrics
Single Account
Deep dive into individual curator performance with detailed dashboards, voting power tracking, top authors analysis, and comprehensive quality metrics
Compare Curators
Side-by-side comparison of multiple curators with sortable metrics, rankings, and powerful export tools for creating detailed analysis reports
mantecurated.3speak.tv/@usernameOpen source analytics tool for the Hive community. Empowering curators with data-driven insights to improve content discovery and reward distribution.