I'm looking for some inspiration for scoring "trust" based on a web of "friends of friends". My first thought was to weight "direct friends" as 100%, then reduce by 1/2 for each layer of indirection (so 50%, then 25%). But you could have someone known by multiple people, 1/x
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Replying to @timClicks
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Replying to @timClicks @raphlinus
James<'a, N> where N: ArrayLength<u8>, Retweeted James<'a, N> where N: ArrayLength<u8>,
Also context on my end:https://twitter.com/bitshiftmask/status/1176530554310791171 …
James<'a, N> where N: ArrayLength<u8>, added,
James<'a, N> where N: ArrayLength<u8>, @bitshiftmaskStarted hacking on a peer to peer tool to build a cryptographic "identity web of trust", tentatively named `frauth` (Friend authentication). I put a sample file, along with some notes here, I'd be super interested in feedback https://gist.github.com/jamesmunns/a0bf462f9f3a86216e85ae3852c35fb3 …Show this thread1 reply 0 retweets 1 like -
Some useful links here, including a video and a draft paper: https://en.m.wikipedia.org/wiki/Advogato
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I think this is an interesting space, but haven't done any work in it in many years. I am confident, though, that a purely technical solution will fail, as graphs and the like are so easily gamed. We need a science of digital sociology.
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You mean blockchain won't solve this?
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