#networkscience

Live, measured metrics for the hashtag #networkscience from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #networkscience

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.

$5.00/ year · 14-character #name
Claim #networkscience — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-16 08:00 UTC
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16

0 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 2026-10-16 08:00 UTC
#networkscienceonlinesocialnetworks
0 uses · 0 accounts / 7d
#networkscienceandonlinesocialnetworks
0 uses · 0 accounts / 7d
#networkscienceinstitute
0 uses · 0 accounts / 7d
#networkscienceetwork
0 uses · 0 accounts / 7d
#networkscienceetworketwork
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-16 08:00 UTC

Everything below is measured over the latest 40 public posts (spanning ~6922 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (33) · Korean (4) · French (2) · Russian (1)

Avg boosts / post: 2.2

Top of the latest posts

  • What percentage of Fediverse accounts are connected by follow relationships directly or indirectly to @Gargron? https://en.wikipedia.org/wiki/Weak_component #EvanPoll #poll #NetworkScience

    Evan Prodromou 🇨🇦🇺🇸🇬🇷🇵🇸@[email protected]♥ 3↻ 132026-05-31 21:41 UTCView post →

  • My next #NetworkScience project is about scaling #tagspub. If you follow a hashtag in Mastodon, the number of people that provide potential content to you is total number of people on your server plus the total number of unique people follo

    Evan Prodromou 🇨🇦🇺🇸🇬🇷🇵🇸@[email protected]♥ 3↻ 42026-05-04 08:55 UTCView post →

  • I wonder how big the largest connected component (LCC) of the Fediverse social graph is, where each node is a person and each edge is a follow relationship. FediIndex shows 18,400+ user accounts. My guess is maybe 10% of them are unreachabl

    Evan Prodromou 🇨🇦🇺🇸🇬🇷🇵🇸@[email protected]♥ 1↻ 92026-05-25 00:35 UTCView post →

#networkscience across platforms

every network with a public tag surface

Follow #networkscience 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/networkscience