#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.
Own #betweennesscentrality
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-18 05:51 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 2026-10-18 05:51 UTCNo related tags with measured usage found for #betweennesscentrality.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-18 05:51 UTCEverything below is measured over the latest 2 public posts (spanning ~12051 hours).
Posting hours (UTC)
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
@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
#betweennesscentrality across platforms
every network with a public tag surfaceFollow #betweennesscentrality 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/betweennesscentrality