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 A pretty efficient algorithm for content discovery/filtering for any social network.

https://github.com/pippellia-btc/The-Problem-of-Spam/

On my old pc it can compute over the whole Nostr network in less than 10m
 @brugeman 
 You mean it calculated global trust scores? 
 Local trust scores.

It computed a N x N matrix T, where

t_ij is a number between 0 and 1
that represents how much person i trusts person j. 
 Somewhat similar to Appleseed, 

but a little less precise, and way more efficient I believe 
 How big is N? 
 I did a nice asymptotic analysis here: https://github.com/pippellia-btc/The-Problem-of-Spam/tree/main/v0.2

N ~ 100k

The neat part is that multiplying two Boolean matrices cost O(N^2) instead of O(N^3) (or O(N^2.8) with strassen) 
 Hey @brugeman, I sent you a DM 😜