Performance Metrics Design And Implementation For The Cultural Genealogy Protocol (CGP)

The Cultural Genealogy Protocol (CGP), conceived and designed by Dr. Bayomock Linwa Andre Claude and published in IJSET (2026, Vol. 14, Issue 1), defines a comprehensive framework for African-centered genealogy management. A first implementation of the CGP platform was produced by Mr. Coulibaly Monpi Kapo Darrell at IUGB, establishing the foundational data management infrastructure. However, the performance metrics module explicitly specified in the CGP protocol as a core objective had not yet been implemented. This article presents the design, mathematical formalization, and prototype implementation of this metrics framework as a contribution intended for integration into the existing CGP platform. Eight statistically grounded metric groups are introduced, covering demographic analysis, matrimonial statistics, longevity indexes, name frequency analysis with phonetic similarity detection, and paternal branch elder identification. A dual-perspective analytics dashboard is described, and validation results obtained on a 22-member, four-generation dataset are reported. All metrics were computed in under 300 milliseconds, confirming the feasibility and correctness of the proposed approach.