#information_theory
Live, measured metrics for the hashtag #information_theory from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #information_theory
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 2026-07-29 03:18 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 03:18 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 03:18 UTCEverything below is measured over the latest 10 public posts (spanning ~52533 hours).
Posting hours (UTC)
Languages: English (8) · Russian (1) · Polish (1)
Avg boosts / post: 0.8
Top of the latest posts
Some hashtags of my interests: #entropy #language #Zipf #ergodic #nonergodic #mutual_information #information_theory #repetition #stochastic_process #excess_entropy #kolmogorov_complexity #algorithmic_randomness #large_language_model #neura
Correlations in neural population codes limit encoding capacity and windows of integration - below is a nice summary of how theory & experiments helped us understand why it is important to study population-level phenomena, and not merely se
#introduction Hello I'm Russell, a PhD student at the Friedrich-Alexander University Erlangen-Nuremberg, Germany. I research on #cryptography, #privacy, #security, and a little bit of #information_theory.
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/information_theory