Thanks for the explanation. In that case I'll leave them as is since they are the lesser important metrics. I do think the metrics you chose to include nicely complement vertex and grapevine which are mostly based on relations within followlists.
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In Relatr, we use the relations within the following list as well, aka social graph distance. The difference is that we focus on a trust model that always starts from the perspective of a source pubkey. This is because in decentralized networks like Nostr, there is no global state or a way to compute a global trust score. Our approach is to embrace this and accept that trust is a social phenomenon that occurs between the relation of two profiles: a source and a target. This means that what might be trustworthy for you may not be for me, and this is the only feasible approach we found that might work, as the idea is that everyone can run their own Relatr instance setting yourselve as the source.
In the other hand, the insight that led us to choose this approach is that if you trust the source pubkey from an specific Relatr instance, you can in some way extend your trust to what the source pubkey trusts. The analogy would be: if I trust you, I can trust what you trust. So, even though the trust is always computed from a source pubkey, if you trust the source, the score would still be meaningful for you.
There is more information on the Relatr.xyz page in the About section. We also wrote an article when we introduced Relatr, going through the rationale behind our approach. Hope this helps!