#eigensystem
Live, measured metrics for the hashtag #eigensystem from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #eigensystem
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-13 22:28 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-13 22:28 UTCNo related tags with measured usage found for #eigensystem.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-13 22:28 UTCEverything below is measured over the latest 2 public posts (spanning ~3533 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 1
Top of the latest posts
Published at #IRRJ: "An Eigensystem for Topic Term Weighting yields Fair and Effective Document Rankings" by Massimo Melucci. #InformationRetrieval, #GroupFairness, #ProbabilityRankingPrinciple, #Eigensystem https://doi.org/10.54195/irrj.23
... that's nothing new. the point was to address a related question: suppose that the eigensystem {v_i, λ_i}, i = 1, ..., n of a full-rank, well-conditioned n-by-n square matrix A is known, and then you are given a related matrix B = A + E,
What “eigensystem” means
WikipediaIn 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) →#eigensystem across platforms
every network with a public tag surfaceFollow #eigensystem 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/eigensystem