#PersistentHomology
Live, measured metrics for the hashtag #PersistentHomology from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #persistenthomology
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 20:06 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 2026-07-28 20:06 UTCNo related tags with measured usage found for #persistenthomology.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 20:06 UTCEverything below is measured over the latest 5 public posts (spanning ~26680 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 1.4
Top of the latest posts
Topological persistence is an importance measure in #PersistentHomology, with a strong practical utility for noise removal in various applications: #Imaging, #Clustering, #ClimateScience, #Geophysics, #MaterialScience and more! 👇 https://a
R Consortium-funded tooling for TDA in R: statistical inference for persistence diagrams Persistence diagrams are great summaries of “shape in data” (persistent homology) — but many workflows stop at plotting. The {inphr} package goes furth
To compute #PersistentHomology, one needs to check, for each d-simplex σi of a filtration, if it "fills" a (d-1)-dimensional hole, i.e. if its boundary ∂σi is homologous to a non-trivial (d-1)-cycle created on an unpaired (d-1)-simplex (blu
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/persistenthomology