#Modellierung
Live, measured metrics for the hashtag #Modellierung from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modellierung
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-01 20:20 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-01 20:20 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-01 20:20 UTCEverything below is measured over the latest 40 public posts (spanning ~26975 hours).
Posting hours (UTC) — busiest: 11:00
Languages: German (38) · English (2)
Avg boosts / post: 2.3
Top of the latest posts
Ein paar Wochen nach der #DHd2026 in Wien habe ich meine Workshop-Notizen zu einem Blogpost ausgearbeitet: https://dhd-blog.org/?p=23426 Es geht um Modellierung jenseits von Named Entities, Transkription mit #Whisper und darum, wie Daten üb
Das #CC #Objekte als #Inschriftenträger lädt zu einem Vortrag zur #Modellierung epigraphischer #Daten im Rahmen des FAIR Epigraphy Project ein. 🗣 Jonathan Prag & Imran Asif (Oxford) 🎯 Thema: „A CIDOC-based ontology for Epigraphy: mapping
Dynamik eines nichtlinearen Mini-Weltmodells: Experimente mit Py5 und FPlotter Nachdem ich vor ein paar Tagen meine »Matplotlib für Arme« FPlotter (2) von Processing.py nach Py5 portiert hatte, galt es, dies auch mit Leben zu erfüllen. Ich
#modellierung across platforms
every network with a public tag surfaceFollow #modellierung 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/modellierung