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:
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.
m'brain. Tan is interesting, can you explain for non-mathy people like myself?
Actually curious about the reasoning for it 😀
We care about some sort of threshold classification, with some sort of "pending"/leniancy state for newcomers.
Maybe even a sinkhole point-of-no-return-make-a-new-npub-bitch for spam/noted toxic individuals given your network.
A sigmoid is standard practice for classification, but asymptotic bounds of 0 and 1 don't really help those that have been in the game for a while. So we want to classify yes and no, in between state, and also note the very (un)trustworthy individuals.
Tan and cubic curves accomplish that. They grow very fast after a certian point.
With minimal assumptions, you can just encode every data point as ±1 for positive/negative interactions, and put the average * scaling constant into the function.
Or you can weight the interactions by type (mutes>follows> sentiment classification of comments > reaction classification, or weight based on if the points are coming from your follows) and compute the weighted average.
Coracle's WOT formula, where mutes are the argument and follows are the parameter.
