NIP-32 was created from discussions related to NIP-56 already, by that same reasoning I imagine.

I have no idea of how to do the graperank thing already, even less if one is supposed to input arbitrary tags, but if such a thing is possible than I can only imagine it will be great.

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It’s definitely possible — I and others have built GrapeRank proofs of concept that synthesize follows, mutes and reports into a trust score. Each of these 3 sources of data gets “interpreted” as the first step. Things like replies, reactions, zaps, tags, etc will be straightforward to interpret using the same technique that we’ve already used.

Have you done a deep dive yet into #PageRank? PageRank and GrapeRank are both examples of centrality algorithms. PR is easier to explain, easier to implement and historically significant as the thing that launched Google in1998 and wiped away — like magic!! — the vast majority of spam from internet keyword search. I’m excited to see PR and similar algos in production & in use by nostr:nprofile1qqs8y6s7ycwvv36xwn5zsh3e2xemkyumaxnh85dv7jwus6xmscdpcygpz9mhxue69uhkummnw3ezumrpdejz76jympz, nostr:nprofile1qqs0dqlgwq6l0t20gnstnr8mm9fhu9j9t2fv6wxwl3xtx8dh24l4auspzemhxue69uhhyetvv9ujumn0wd68ytnzv9hxgqg4waehxw309ash2arg9ehx7um5wgcjucm0d52m9qj9 and others, and I would like to see more nostr devs understand and appreciate what PR and other centrality algos can do for nostr.