Jordan
@ruminations
One of the coolest applications of network analysis is community detection—automatically grouping people based on their interactions. Lots of use cases, but the actual communities/clusters are generally hidden from the user. The problem that's always kept this from being consumer-facing is the lack of context. You'd get results like "user X belongs to community_id_50"—can't exactly show that to users. So you'd need manual analysis to name communities, add descriptions, tags, etc. Usually not worth the effort. But now with LLM agents, we can automatically analyze and characterize these communities in ways that actually make sense to end users. Been experimenting with this for @quotient and it unlocks so many possibilities: audience segmentation, search/discovery, influencer identification, and just making it way easier to understand who someone is and why they matter.
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