Oddbean new post about login | logout Yup. The algo is similar in some respects to PageRank, but with a few very important changes. It’s implemented right now at grapevine.my but it’s embedded in react, so we’ve just started the process of rewriting the algo as a standalone js library. Might do other languages after that, haven’t decided yet.
Here’s a geeky overview of the grapevine algo where I draw comparisons to PageRank and make the case for the differences between PageRank and “GrapeRank.” Specifically, why the introduction of a nonlinear term is unavoidable. https://habla.news/u/david@bitcoinpark.com/1725006462512
This looks pretty good but I am currently unable to read the mathematics part.
Honestly … I needed a personal walkthrough to grasp it for myself … but that’s prolly just because I’m dense. Maybe we can do a live stream presentation of the GrapeRank mechanics at some point … @straycat ?
I’d be happy to do that. Might work best to have someone else as host who can ask questions as I attempt to explain how the math works and why it is what it is. Right now I’m writing up the idea of the “grapevine worldview” which lets you visualize the sources of information (follows, mutes, lists, notes, etc) and how they are processed in multiple stages by the grapevine to provide answers to whatever questions we are interested in. That may help to clarify why the grapevine WoT score needs to function as a *weight*. By weight, I mean: how *loud* is someone’s voice on some given topic? We want to screen out the bots, but we don’t want to make it a popularity contest, and the math is chosen so it strikes the right balance.