#eigenvector
Live, measured metrics for the hashtag #eigenvector from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #eigenvector
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-09-26 13:24 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 2026-09-26 13:24 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-26 13:24 UTCEverything below is measured over the latest 2 public posts (spanning ~354 hours).
Posting hours (UTC)
Languages: English (1) · Chinese (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
A very simple explanation of a recent maths paper (co-written by a University of California LosAngeles maths professor) on #eigenvector & #eigenvalue — in the student newspaper of the same university by Shruti Iyer @ashwin_baindur https://d
不明覺厲 #線性代數 #eigenvalue #特徵值 #eigenvector #特徵向量 https://mp.weixin.qq.com/s/cJLQFljjbT0NzaiMR801aA
What “eigenvector” means
Wiktionary · Wikipediaeigenvector
- nounGiven a linear transformation T, a vector x such that Ax=\lambda x for some scalar \lambda
In linear algebra, an eigenvector or characteristic vector is a (nonzero) vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector of a linear transformation is scaled by a constant factor when the linear transformation is applied to it: . The corresponding eigenvalue, characteristic value, or characteristic root is the multiplying factor .
“Eigenvalues and eigenvectors” on Wikipedia (CC BY-SA) →#eigenvector across platforms
every network with a public tag surfaceFollow #eigenvector 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/eigenvector