Oh hold on we're back
Discussion
Haha I already had to upgrade the processor once last week 😂
Neo4j is a beast, and has a big resource appetite 😂
Yup, but it works. Step 1: do stuff no one has never done before. Step 2: optimization
Absolutely. But it's the optimization step where the real work begins 😅
Well, there are many pieces to the puzzle and problems to solve! We need to know what we want our graph dbs to do before we can optimize them! Is PageRank what we want? I think we need a whole new class of centrality algos. GrapeRank is based on my ideas of how to do that. But the only way to test if I’m right is to implement GrapeRank and demonstrate its utility.
One think I think would be neat and useful personally would be a list of npubs that are widely followed by my follows, but not by me.
That way, you can pick 10 users you recognize on to follow on sign up and then generate a list of a dozen npubs that are the most followed and least muted among them.
Right now on my site you can go to the main WoT table, filter for hops 2 or more to see pubkeys you’re not following, and then order them using several methods. I don’t have a column for precisely what you’ve suggested but it would be easy enough to add - perhaps I will do that.
Although if I may suggest: I think the spirit of the GrapeRank influence score is very closely aligned to what you’re asking for, and probably produces a very similar list (if not exactly the same).