people are too complex to verify precisely. web of trust is about seeing past the self-promotion to what people actually perceive. the most important info in nostr data is not the follow lists, though it's got some value. interaction metrics *prove* trust but you then have the problem of characterising it, engagement is the raw signal, the words contain the sentiment.
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also, the purpose of it is to reduce the influence of malicious actors in a social graph. and various attempts to produce strongly indicative metrics often have various games you can play to pump your numbers, like sock puppets.
sock puppets, for example, could be reduced by creating a scheme for requiring users to mine vanity keys with a minimum readable length in them. this would be in the range of 8+ characters. the darkweb many sites do this with their Tor hidden service address (it's a pubkey). because they take weeks to generate long ones. a user with a very long vanity word in the pubkey bech32 encoding would be very difficult to impersonate.
there is schemes like this also with other systems. DNS uses monetary costs and a distributed replication system to stop people poisoning the map of name->address but it is a very high trust protocol, this is partly also why Russia has implemented its own name service system in case someone does break the IANA BIND9 database.
A metric based on how much mutual bi-directional interaction, frequency and last interaction could potentially be useful. Then you know its an actual relationship not just a 'reply-guy'