liminal @liminal - 1y
And we can experiment with WOT Score built from the your followers+broader network, weight stronger if score comes from in network - count mutes - count follows? - count/classify comments?? - count/classify reactions??? Minimum threshold for interaction π/πΈ if < lower bound π if close to zero (less interactions, less data to work with) π if > upper bound
Take the raw count, divide by total number of interactions, throw it into a tan function, scale appropriately and you'll have a WOT that pretty much does that nostr:npub1jlrs53pkdfjnts29kveljul2sm0actt6n8dxrrzqcersttvcuv3qdjynqn could you give some intuition behind your WOT metric? (follows - ln(mutes)^2)
Think WOT is the most straightforward path. Cant stop people from viewing, following, commenting on your public account but you can filter them from your view and put bad actors into a sinkhole where they need a new npub to build trust. Parameters for wot score: nostr:nevent1qqst0r4ky5565r6t8wk9eqgxt3slken8af5z5nlmh6xtx7cckwad85qpz3mhxue69uhhyetvv9ujuerpd46hxtnfdupzphzv6zrv6l89kxpj4h60m5fpz2ycsrfv0c54hjcwdpxqrt8wwlqxqvzqqqqqqyt8lwu5 Multiply by a scaling factor and throw into tan function. At least thats my initial run at it. coracle uses followers- log(mutes)^2 but im not sure where that formula comes from.
