Only very base spec stuff so far, with no abstractions like replies or quotes and such:
User -SIGNED- Event
Event -TAGGED- Tag
Event -REFERENCES- Event
Event -REFERENCES- User
I'll have to handle removals eventually too but only in relation to ephemeral and addressable events. You have to understand that I'm approaching this from a completely different direction. I'm not going to base anything in the web of trust calculation on follows or mutes, and the calculation will be locally incremental rather than global like pagerank. I probably won't even need graph data science for the MVP.
Jay
npub10m…x27hf
2025-02-17 18:02:50
in reply to nevent1q…qu0f
Author Public Key
npub10mtatsat7ph6rsq0w8u8npt8d86x4jfr2nqjnvld2439q6f8ugqq0x27hfPublished at
2025-02-17 18:02:50Event JSON
{
"id": "d39cdcda0f267760f2e23ff4587f4ad09dd786f198c8a3c1d1473229f9f0f135",
"pubkey": "7ed7d5c3abf06fa1c00f71f879856769f46ac92354c129b3ed5562506927e200",
"created_at": 1739815370,
"kind": 1,
"tags": [
[
"e",
"e9223a2cdcdbc207fd8c4a6775ebc0cb3c0ad00de37084f0bfe5f48c283008a2",
"",
"root"
],
[
"e",
"7432c94245881466629eab95cdd02d3f6c8688b716b662863e7ae99d8d26d3db"
],
[
"e",
"a3a8a89625aafdbf22bef0564586d3745ae43f259d2adeac88fea81ec81a7bc4",
"",
"reply"
],
[
"p",
"7ed7d5c3abf06fa1c00f71f879856769f46ac92354c129b3ed5562506927e200"
],
[
"p",
"18905d0a5d623ab81a98ba98c582bd5f57f2506c6b808905fc599d5a0b229b08"
],
[
"p",
"e5272de914bd301755c439b88e6959a43c9d2664831f093c51e9c799a16a102f"
]
],
"content": "Only very base spec stuff so far, with no abstractions like replies or quotes and such:\n\nUser -SIGNED- Event\nEvent -TAGGED- Tag\nEvent -REFERENCES- Event\nEvent -REFERENCES- User\n\nI'll have to handle removals eventually too but only in relation to ephemeral and addressable events. You have to understand that I'm approaching this from a completely different direction. I'm not going to base anything in the web of trust calculation on follows or mutes, and the calculation will be locally incremental rather than global like pagerank. I probably won't even need graph data science for the MVP.",
"sig": "47a2a101ee932a7e64a464ce3e9dbb014df44d1cb727e6f5200ff55a7c7d39bc8a37823c41180cbab13d9e7ccbbc30855be19bef5d58b48abb4e7f445ba7817c"
}