#igraph
Live, measured metrics for the hashtag #igraph from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #igraph
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.social (Mastodon public tags API) · fetched 2026-10-26 01:18 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.social (Mastodon public search API) · fetched 2026-10-26 01:18 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-26 01:18 UTCEverything below is measured over the latest 24 public posts (spanning ~28312 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (19) · Spanish (3) · Russian (1) · German (1)
Avg boosts / post: 1.2
Top of the latest posts
The "Smith-Pittman" algorithm is now available as a Python implementation for #igraph users! Leverage node degree and edge betweenness in community detection with this Girvan-Newman styled algorithm. Remember to star the repo here: https://
@danwwilson @lwpembleton #brms by @paul_buerkner has made Bayesian models incredibly fun and intuitive for me. I love the combination of well thought out defaults and API with a lot of depth and power, should you need it. Other than that, I
exciting news | looks like @gws #rstats #webR now has #igraph https://github.com/r-wasm/rigraph
What “igraph” means
Wikipediaigraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R packages. There exists moreover an interface for Mathematica. The software is widely used in academic research in network science and related fields. The publication that introduces the software has 13502 citations as of July 3, 2024 according to Google Scholar.
“Igraph” on Wikipedia (CC BY-SA) →#igraph across platforms
every network with a public tag surfaceFollow #igraph 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/igraph