I want to compare and contrast those two algos so I can better appreciate their relative strengths and weaknesses. Also, I’m using the FOSS graph database neo4j and neo4j graph data science which makes calculation of PageRank as easy as execution of a single cypher query, so no reason not to.

I do believe that GrapeRank is ultimately going to be better for most applications. It allows you to incorporate data from any source whatsoever (zaps, ratings, attestations, etc), calculate different types of scores for different contexts, tally trust-weighted votes and do weighted averages. Most importantly, it’s designed to tailor your WoT to the preferences, beliefs, and values of the end user. Over the past week I’ve figured out how to tweak some of the GrapeRank parameters to do a better job of stratification. It will improve further once I incorporate kind 1985 reports.