I have no idea. But there's a functionality that lists the connection degree to a given person when you're in their profile (among other person recommendation algos). i.e If we're at Peter profile Linkedin gives a list of people like "John's a direct connection to Peter, can introduce you", "Carla is a 2nd connection to Peter", etc, etc.
Something like this at least :)
I still have to read more about neo4j and understand more its use cases. It's pretty cool!
I’m using neo4j because it’s the most mature FOSS graph database that I’m aware of. It has an enterprise edition that funds its development, but the community edition is enough for my purposes.
By the way, I assume there's a huge correlation to neurology. I was just reading about it and it seems AI (neural networks) don't exactly use graph databases, it's more like vector representations. I do wonder if this will become a thing in the near future. I would say there might be a connection there. It's fascinating stuff.
I think you’re 💯 pct correct that there’s something fascinating going on there, and I think it’s largely undiscovered territory from an academic perspective.
So how could personalized grapevine WoT relays possibly relate to the brain? The challenge that faces us today is to build freedom tech that solves real problems for real people. The reason this is a hard problem is that freedom tech means that in theory, there should be no centralized authority to create and maintain the digital tools and languages that enable our apps to talk to one another. So in theory, our starting point is a digital Tower of Babel, so to speak. Big guess what: as human beings in the analog world, we face exactly the same problem! With no central authority to create and maintain spoken languages, how do linguistic conventions even come into being? How do we arrive at decentralized linguistic consensus? I speculate that the design of the brain is influenced strongly by the need to solve this exact problem. And the solution is twofold: first, organize information (in the brain) into some variation of the idea of a graph database or knowledge graph; second, employ a handful of very simple, very basic web of trust algorithms for consensus formation. This is how a decentralized population of sovereign individuals agree to call a hat a “hat.” And once the necessary digital tools are built, we’re gonna find ourselves using similar strategies of decentralized consensus formation to agree to use “created_at” instead of “createdAt” for kind 1 notes.
🍇🧠⚡️
tl/dr:
Problem: how does a set of peers establish decentralized linguistic consensus?
Analog realm: the brain
Digital realm: freedom tech
Solution in both realms: knowledge graph (graph database) + elementary WoT
Oh yeah, I really like your idea of DCoSL (decentralized curation of simple lists). It's incredible stuff and I think it can/will be a great source of knowledge for us all and also AI (and everyone of course in many ways) in the long term future of Nostr. I definitely see the potential for it.
Some sort of standard or agreement on a given data categorization structure is going to be very interesting for all. i.e "List of my Recipes", "Favorite Recipes", "Vegan Recipes" could be extrapolated to the biggest NIP-like structure of recipes globally. And this for everything.
I'm yet to dive deeper into it, I know there's much more meat to it.
I've been talking with nostr:nprofile1qyw8wumn8ghj76twvfhhstnd093k2mrfw4kjuum0vd5kzmp0qyw8wumn8ghj7un9d3shjtnd093k2mrfw4kjuum0vd5kzmp0qqs9pqy620l0jkgy2yaggr2qs25jk3wdtudeusmdn54e92yuuzglzeqkxh0r2 about this kind of stuff. I'm also a huge Logseq user/supporter and thus I'm really interested in data categorization in general.
Oh yeah, I really like your idea of DCoSL (decentralized curation of simple lists). It's incredible stuff and I think it can/will be a great source of knowledge for us all and also AI (and everyone of course in many ways) in the long term future of Nostr. I definitely see the potential for it.
Some sort of standard or agreement on a given data categorization structure is going to be very interesting for all. i.e "List of my Recipes", "Favorite Recipes", "Vegan Recipes" could be extrapolated to the biggest NIP-like structure of recipes globally. And this for everything.
I'm yet to dive deeper into it, I know there's much more meat to it.
I've been talking with nostr:nprofile1qyw8wumn8ghj76twvfhhstnd093k2mrfw4kjuum0vd5kzmp0qyw8wumn8ghj7un9d3shjtnd093k2mrfw4kjuum0vd5kzmp0qqs9pqy620l0jkgy2yaggr2qs25jk3wdtudeusmdn54e92yuuzglzeqkxh0r2 about this kind of stuff. I'm also a huge Logseq user/supporter and thus I'm really interested in data categorization in general.
