#timeseries
Live, measured metrics for the hashtag #timeseries from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #timeseries
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.social (Mastodon public tags API) · fetched 2026-10-10 02:23 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-10 02:23 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-10 02:23 UTCEverything below is measured over the latest 40 public posts (spanning ~5233 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (24) · Korean (6) · Russian (4) · French (2) · German (2)
Avg boosts / post: 0.9
Top of the latest posts
Interested in complex dynamics? Today I'm releasing the "1000×1000 collection": a unified place to learn about dynamical structure. 1000 simulated time series (1000 samples each) spanning 133 dynamical processes. Have a play? 🐛 #timeseries
Two more papers from the DIG team accepted at #EMNLP2026 (Budapest, 24–29 October) – that makes three this year! Both tackle the same question: can we find complex events in multivariate time series from a natural-language description alone
A reader left a comment under the MSARIMA post on LinkedIn saying that in order to compare ARIMAs via information criteria, we need to make sure that the candidate models have the same order of differencing. They are right — for the convent
What “timeseries” means
WikipediaIn mathematics, a time series is a sequence of data points indexed, listed, or graphed in chronological order. Most commonly, a time series consists of observations recorded at successive equally spaced points in time. Thus, it represents a form of discrete-time data. A time series may describe measurements collected over seconds, days, years, or even centuries. Common examples include heights of ocean tides, counts of sunspots, daily temperature readings, and the closing values of stock market
“Time series” on Wikipedia (CC BY-SA) →#timeseries across platforms
every network with a public tag surfaceFollow #timeseries 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/timeseries