#viaf
Live, measured metrics for the hashtag #viaf from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #viaf
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:38 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 12:38 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:38 UTCEverything below is measured over the latest 19 public posts (spanning ~50516 hours).
Posting hours (UTC) — busiest: 14:00
Languages: French (10) · English (4) · German (3) · Chinese (Taiwan) (1) · Italian (1)
Avg boosts / post: 1.7
Top of the latest posts
Welche digitalen Ortsverzeichnisse nutzt ihr so? Ich bin sehr gespannt. Gerne die Liste ergänzen #geonames #wikidata #gnd #viaf #worldhistoricalgazetteer #factgrid #tng #pleiades #bavarikon #historischeslexikonderschweiz #leobw #hov #burgen
Poursuite de ma tentative de rajeunissement en corrigeant #Wikidata suite à un import mal fait de données du #VIAF. Rdv dans quelques semaines pour voir si ça a fonctionné sur ce qu'affiche #Google.
在轉換(成鏈結資料工作流程的)期間,圖書館必須分出有限的人力來處理增量的資料但是卻同時也造成人力的短缺來進行後設資料的建立。在這樣的情境下,鏈結資料(Linked Data)同時是問題的解答以及製造者。鏈結資料系統到底是降低了人力的需求呢 (相較於傳統的紀錄建立模式) ?抑或將圖書館的工作拓展至更多元的資料建立、數據鏈結機會並終將導致人力需求的提升 ?至今為止對鏈結資料所做出的努力是否已經建立足夠的高品質資產 ?畢竟只有超越臨界數量,一般大眾才能在搜尋引擎上發現並體驗圖書館的
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/viaf