#historicalnetworkresearch
Live, measured metrics for the hashtag #historicalnetworkresearch from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #historicalnetworkresearch
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 2026-08-03 01:33 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 2026-08-03 01:33 UTCNo related tags with measured usage found for #historicalnetworkresearch.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-03 01:33 UTCEverything below is measured over the latest 3 public posts (spanning ~26592 hours).
Posting hours (UTC)
Languages: English (2) · German (1)
Avg boosts / post: 7
Top of the latest posts
The #CallForPapers for the #HistoricalNetworkResearch conference #HNR2026 has been extended to Dec. 21! So still some time to submit something and visit beautiful Turin. https://historicalnetworkresearch.github.io/turin/cfp/ #DigitalHumanit
Call for papers from the Journal of Historical Network Research on : «Historical Network Analysis in Computer Games» "We therefore invite submissions of papers that address the following questions, among others: How can computer games be us
This post “Modularity maximization considered harmful” is an excellent, thorough yet readable piece by @tiago. I'd consider it a must-read for anyone in #HistoricalNetworkResearch #HNR, given that the modularity method in #Gephi was the fir
#historicalnetworkresearch across platforms
every network with a public tag surfaceFollow #historicalnetworkresearch 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/historicalnetworkresearch