📕 subnode [[@flancian/the agora is a social knowledge graph]] in 📚 node [[the-agora-is-a-social-knowledge-graph]]
an agora abstract.push agora abstractspull social knowledge graph distributed knowledge graphAn Agora is a distributed knowledge graph provisioned and maintained by a community as a commons.The Agora can be said to be a social knowledge graph as it is a distributed knowledge graph produced in a social context and containing social information.Whereas a personal knowledge graph usually contains resources authored or collected by a single person, and a wiki usually contains resources produced by a group, an Agora contains and integrates both personal and group resources.Whereas a personal knowledge graph is usually maintained using a single personal knowledge management tool and stored in a single format, an Agora tends to be tool and format agnostic, trying to provide and follow the most general conventions.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.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 free and open source 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 in individual contributions (resulting in following a link sometimes surfacing more than what the individual author envisioned.)We are using said reference Agora to refine the proposed system and run experiments.Some hypotheses that we are testing:Individual contributions can be made maximally useful to others on average when served best-effort in a social context at the only cost of adopting a default social stance (at little extra effort over baseline), and this mechanism benefits from network effects.A knowledge commons model can provide utility to participating communities efficiently, as the cost of systemic integrations with a hub design such as the Agora can scale with O(N) instead of the O(N^2) provided by a naive full mesh.Best effort social composition and integration of notes might be sufficient to surface yield higher level meaning and order, or at least significantly complement both taxonomic approaches (hierarchical) and individual-scoped eventual convergence (non hierarchical).A composition of personal hierarchies yields a social heterarchy.The social context afforded by an Agora provides a path towards faster eventual convergence (that is, K people contributing to N nodes as categorized using loose or implicit personal ontologies can converge on useful emergent categories as K increases, at low individual effort).Going from a set of voice-preserving individual contributions to a shared group resource might be an efficient way to foster opportunistic collaboration at scale.
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