From 24e76001e84d048e78c021b56a9d3bc2d32d8a11 Mon Sep 17 00:00:00 2001 From: Flancian <0@flancia.org> Date: Mon, 2 May 2022 01:23:47 +0200 Subject: [PATCH] Auto saved by Logseq --- the agora as a social knowledge graph.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/the agora as a social knowledge graph.md b/the agora as a social knowledge graph.md index 7db35d301..b7e5de304 100644 --- a/the agora as a social knowledge graph.md +++ b/the agora as a social knowledge graph.md @@ -8,10 +8,10 @@ - Being a [[graph]], an Agora can be defined as a set of vertexes or [[nodes]] `N` (entities) and [[edges]] `E` (known links between entities, optionally annotated). - Agora [[nodes]] are defined by the set of known resources *about* the entity described by their title or other metadata. - A [[node]] is a community-maintained [[collection]] of voice-preserving individual [[subnodes]] defined by the resources contributed by a certain user or group. - - Links can be said to [[fan out]] in the sense that they are evaluated in social context by default. - Because links between two nodes in an Agora can be [[annotated]] (i.e. #tagged or qualified by other nearby links) and have multiplicity, the Agora is in fact a [[hypergraph]]. - Individual agoras are expected to federate and organize into greater Agora networks, which are in themselves graph-like at a higher level. - On a system level, there exists a [[reference Agora]] that provides a minimum viable implementation for the [[underlay]], [[interlay]], [[overlay]] components of the [[distributed knowledge graph]]. + - In the reference Agora, links can be said to [[fan out]] by default in the sense that they are evaluated in social context - We are using said reference Agora to refine the proposed system and run experiments. - Some hypotheses that we are testing: - Individual contributions can be useful on average when served best-effort in a social context at the cost of adopting a default social stance (at little extra effort over baseline), and this mechanism benefits from network effects.