#BetweennessCentrality

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
1
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 09:22 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 09:22 UTC

No related tags with measured usage found for #betweennesscentrality.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:22 UTC

Everything below is measured over the latest 2 public posts (spanning ~12051 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (1) · French (1)

Avg boosts / post: 0

Top of the latest posts

  • Calculating different #centrality measures for a street #network takes longer than expected. #DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a netwo

    Tuomas Väisänen 📼🧟‍♂️@[email protected]♥ 2↻ 02024-03-12 13:34 UTCView post →

  • @Telias @Downes @cogdog The point there being: maybe there’s a nonlinear function between the number of people involved and the visibility of the group. Classic measures from #SocialNetworkAnalysis might help, including #ClusteringCoefficie

    Alex Enkerli@[email protected]♥ 0↻ 02022-10-27 10:59 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/betweennesscentrality