#analogical
Live, measured metrics for the hashtag #analogical from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #analogical
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-18 08:07 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-18 08:07 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-18 08:07 UTCEverything below is measured over the latest 3 public posts (spanning ~33102 hours).
Posting hours (UTC)
Languages: English (2) · French (1)
Avg boosts / post: 0.7
Top of the latest posts
Extremely interesting paper. Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning authors: Lucas Jarnac, Miguel Couceiro, Pierre Monnin #KG #KnowledgeGraphs #construction, #analogical #inference, #zero-s
Glad to have presented my work about #knowledgeGraphs and #analogical #reasoning at the analogies workshop https://at2ta.loria.fr/analogies-from-learning-to-explainability/! Especially our latest work about KG bootstrapping from #wikidata w
Void #art #illustration #drawing #sketchbook #artsy #graphic #analogical #rtArtBoost #artshare 👍
What “analogical” means
WikipediaAnalogy is a comparison or correspondence between two things because of a third element that they are considered to share.
“Analogy” on Wikipedia (CC BY-SA) →#analogical across platforms
every network with a public tag surfaceFollow #analogical straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/analogical