Oddbean new post about login | logout yes, i have the UI already pulling lists, and it can sync them, "by name". So if i was creating lists I'd probably use the same set of names, and replace them when I recalculate.
Once I figure out how to fix the NaN bug, maybe I’ll work on a control panel so you can better tailor the lists to your needs. Let me know if there’s any particular feature that you’d like to see!
One thing you can do: on the table, filter using multiple columns. Influence above 0.5, DoS less than 4, stuff like that. And top left of table shows how many profiles made it through your filter. Perhaps I could add a button to export the filtered table as you see it, as a nip-51 list … ?
ah, yes i see the filters now. I applied the one you mentioned and my pubkey was the only match. all good, yeah once i get some numbers flowing I'll have more an idea of what I would filter by. curious how many thousands we're talking about etc..
I think I’ve fixed the NaN bug - one of the variables used to calculate influence scores was not being updated properly. Log out and back in and should be fixed now.
sweet, running a download/calc cycle now
this is working good now! scores look legit and i published an updated list
this is really, really cool, 🎇 ill get it going locally so i can play around w different filters or relays or see how to help. some really interesting numbers and i want to explore feeds of things like 'lowest influence >.006 <.1 is still over 10000 pubkeys for my calculation haha
Awesome! I think it’s going to be fun to think about what to do with scores in ranges like that. Your goal is to eliminate spam from your relays, which means prohibiting anyone with a score below some cutoff. But what is the cutoff that will best serve your purposes? Do you find out empirically? Pick a cutoff from first principles? Or use some other method? And what other data besides follows and mutes would you like to incorporate into the score? That’s the beauty of this method: it can synthesize data from multiple sources, and you can weight each source in whatever manner best suits your purpose. For example, I haven’t included zaps yet but might do that next.
it's interesting to me for the relays yes, but also as a nostr power user, I'm also interested in seeing new/different content from this context to switch up my feed.. I am going to load some more lists up and browse them with amethyst or gossip (both have easy list switching and outbox model). i did that with the top 1000, it was very similar to my follows feed :) I also will start publishing using a different relay list and maybe increase limits to 40k-50k and see how the clients perform when loading em.
Cool, makes sense. I def like the idea of using these scores for new/different content. Have you checked out the Content Discovery app on brainstorm? The system is set up to make recommendations in any context. I just need to add a button to export the lists. These lists should be much shorter but much more focused. Right now for example there are 4 users on the list for the “philosophy” context, generated bc people wrote nostrapedia articles on the topic of philosophy and then other trusted users liked those articles.
i'll check it out. i experimented around, and currently melting gossip and amethyst with a list that's 3500 (.298mb). It's chewing through it though, very interesting. This size was about as large as I could get before hitting a problem somewhere with ndk.Publish, or the relay itself (although I set the relay to allow very large lists, so it should have worked to go up to 10k events and ~.9mb.
Trying out WoT scores now, looks like >25 wot for me, is about 3000 entries