#Hypergraphs

Live, measured metrics for the hashtag #Hypergraphs from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #hypergraphs

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.

$10.85/ year · 11-character #name
Claim #hypergraphs — $10.85/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
27
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 27
0.1
Avg reactions / post
Mastodon · last 27

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 10:18 UTC
0
07-21
0
07-22
0
07-23
1
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 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 10:18 UTC

No related tags with measured usage found for #hypergraphs.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 10:18 UTC

Everything below is measured over the latest 27 public posts (spanning ~36521 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (25) · Italian (2)

Avg boosts / post: 1.1

Top of the latest posts

  • https://youtu.be/0IkSLj-oCZ8?si=jhn4zEDWOByS5mpk #lisp and #prolog was tailored for #ai challenge . How #prolog could help with #knowledgegraphs #hypergraphs and multidimensional #ontology ?

    vp@vpavlyshyn♥ 4↻ 02024-05-04 16:41 UTCView post →

  • New paper! We recently introduced a new definition of distance on weighted higher-order networks that accounts for the structural properties of their support hypergraph. Now, we generalize three distance-based network observables, and, usin

    Charo del Genio@[email protected]♥ 0↻ 42026-07-24 05:19 UTCView post →

  • New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti. The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projectio

    Charo del Genio@[email protected]♥ 0↻ 32026-05-19 09:01 UTCView post →

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/hypergraphs